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expect() calls\n```\n\n## 优点\n\n### 1. 项目边界清楚\n\n`cxs` 明确定位为本机 Codex session 日志的渐进式检索 CLI，不把 GUI、watcher、daemon、realtime sync 混进来。\n\n当前主工作流保持为：\n\n```text\nsync -> find -> read-range/read-page\n```\n\n### 2. 模块拆分健康\n\n当前代码地图比较清晰：\n\n- `cli.ts`：CLI 命令面\n- `indexer.ts`：sync 与索引更新\n- `parser.ts`：Codex JSONL 解析与 session summary 生成\n- `db.ts`：SQLite schema、session/message 存取、FTS 表维护\n- `query.ts`：find/list/read-range/read-page/current 查询编排\n- `ranking.ts`：session 级 heuristic rerank\n- `eval/`：manual eval 与 batch compare\n\n这对一个本地 CLI 来说是健康结构。\n\n### 3. 当前改动方向合理\n\n本轮实现方向整体正确：\n\n- 增加 `current` 命令，从 Codex state DB 按 cwd 找候选 session。\n- 增加 session-level recall，把 `title + summary_text + compact_text + reasoning_summary_text` 纳入 `sessions_fts`。\n- 引入 `matchSource = \"session\"` 与 `matchSeq = null` 语义，避免把 summary/compact 伪造成可回读 message。\n- 保持 `messages` 只表示真实可回读 transcript。\n- 增加 sync single-writer lock 与 read busy timeout。\n- 同步更新 README、AGENTS、architecture、roadmap、skill JSON schema 等文档。\n\n尤其值得保留的是：**不把 compact/summary 写成 `seq = -1` 的虚拟 message**。这个设计比把 session-level signal 混入 message stream 更干净。\n\n### 4. 测试覆盖不差\n\n现有测试已经覆盖：\n\n- CLI help/current/find/list/stats/read-page/sync fail\n- parser 对 compacted handoff 与 reasoning summary 的抽取\n- query 的 title-only recall、field weights、compact recall、snippet density、parallel read lock\n- indexer 的 strict/best-effort、writer lock、stale lock\n- eval predicate 语义\n\n## 主要问题与风险\n\n### P0-1：缺少真正的 TypeScript 类型检查\n\n`package.json` 中 `check` 当前只是 `bun test`，没有 `tsc --noEmit`。Bun 可以执行 TypeScript，但不等于有完整类型检查。\n\n当前类型已经开始变复杂，例如：\n\n- `matchSeq: number | null`\n- `matchSource: \"message\" | \"session\"`\n- `FindMatchRole`\n\n建议补：\n\n- `tsconfig.json`\n- `bunx tsc --noEmit`\n- 把 `check` 改成 `tsc --noEmit && bun test`\n\n### P0-2：DB 连接在异常路径上可能泄漏\n\n部分 query 函数当前是：\n\n```ts\nconst db = openReadDb(dbPath);\nconst session = getSessionRecord(db, sessionUuid);\nif (!session) throw new Error(...);\ndb.close();\n```\n\n如果中间 throw，`db.close()` 不会执行。\n\n建议把 query 层所有 open/close 统一改成：\n\n```ts\nconst db = openReadDb(dbPath);\ntry {\n // work\n} finally {\n db.close();\n}\n```\n\n`getCurrentSessions()` 已经采用这种结构，其他函数应对齐。\n\n### P0-3：sync lock stale 清理存在竞争窗口\n\n当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。\n\n### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n\n`current` 直接依赖 `threads` 表和字段：\n\n- `id`\n- `rollout_path`\n- `cwd`\n- `title`\n- `updated_at_ms`\n\n这对当前本机可用，但作为开源 CLI，Codex state DB schema 可能变化。建议：\n\n- 先检查 table/columns 是否存在。\n- schema 不匹配时输出友好错误。\n- `--json` 模式返回结构化 error，而不是 SQLite 原始异常。\n\n## 次级问题\n\n### P1-1：ranking 逻辑开始堆 magic constants\n\n当前 ranking 使用多组启发式权重，例如 title phrase、title term、cwd term、message bump、user bump、session hit、hit count、recency 等。\n\n这对轻量 retrieval CLI 是合理的，但继续堆会变难调。下一步不建议继续盲目加权重，应优先补 manual eval acceptance gate。\n\n### P1-2：mixed match 展示策略需要专门测试\n\n当前展示行优先选择 message hit，避免用户拿到 `matchSeq = null` 后无法 `read-range`。这是合理产品取舍，但可能掩盖真正强的 session-level 命中。\n\n建议增加 mixed case 测试：同一个 session 里同时有强 session-level hit 和弱 message hit 时，确认展示策略符合预期。\n\n### P1-3：缺少真实大库性能基准\n\n现有单元测试较好，但还缺：\n\n- 几千 session 下的 sync/find p95\n- 大型 `sessions_fts` 的 query 噪音评估\n- real-world manual eval regression gate\n\n## 建议优先级\n\n### P0：发前必须做\n\n1. 补 `tsc --noEmit`。\n2. query 层所有 DB open 改成 `try/finally close`。\n3. 修 sync lock 删除 stale lock 的 race。\n4. 对 `current` 做 state DB schema 检查和友好错误。\n\n### P1：增强可信度\n\n1. 把 session-level recall 的 mixed cases 加进 eval。\n2. 给 ranking magic constants 写一页短说明，避免后续 agent 乱调。\n3. 跑一次真实库 smoke：`sync -> stats -> find -> read-range/read-page`。\n4. 把当前大工作区改动拆成 focused commits。\n\n### P2：长期演进\n\n1. eval 从人工报告升级为 regression gate。\n2. 再考虑 duplicate collapse / diversity control。\n3. 再考虑真正 resource-level reranker。\n\n## 结语\n\n`cxs` 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} from \"node:fs\";\n4\timport {\n5\t getMessagesForPage,\n6\t getMessagesForRange,\n7\t getSessionRecord,\n8\t getStatsCounts,\n9\t getTopCwds,\n10\t listSessions,\n11\t openReadDb,\n12\t} from \"./db\";\n13\timport { INDEX_VERSION } from \"./env\";\n14\timport { classifyQueryProfile, rerankHits } from \"./ranking\";\n15\timport type { RawHitRow } from \"./ranking\";\n16\timport { hasCjk, isCjkToken, queryTerms } from \"./tokenize\";\n17\timport type {\n18\t CurrentSessionCandidate,\n19\t FindResult,\n20\t SessionListEntry,\n21\t SessionListQuery,\n22\t SessionRecord,\n23\t StatsSummary,\n24\t} from \"./types\";\n25\t\n26\texport { classifyQueryProfile } from \"./ranking\";\n27\ttype SqlParams = SQLQueryBindings[];\n28\t\n29\texport function findSessions(\n30\t dbPath: string,\n31\t query: string,\n32\t limit: number,\n33\t): { query: string; results: FindResult[] } {\n34\t const db = openReadDb(dbPath);\n35\t const recallLimit = Math.max(limit * 12, 50);\n36\t const rawRows = [\n37\t ...searchMessageHits(db, query, recallLimit),\n38\t ...searchSessionHits(db, query, recallLimit),\n39\t ];\n40\t const results = rerankHits(rawRows, query, limit);\n41\t db.close();\n42\t return { query, results };\n43\t}\n44\t\n45\texport function getMessageRange(\n46\t dbPath: string,\n47\t sessionUuid: string,\n48\t options: { seq?: number; query?: string; before: number; after: number },\n49\t): {\n50\t session: SessionRecord;\n51\t anchorSeq: number;\n52\t rangeStartSeq: number;\n53\t rangeEndSeq: number;\n54\t messages: ReturnType<typeof getMessagesForRange>;\n55\t} {\n56\t const db = openReadDb(dbPath);\n57\t const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n58\t const session = getSessionRecord(db, sessionUuid);\n59\t if (!session) throw new Error(`session not found: ${sessionUuid}`);\n60\t\n61\t const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n62\t const rangeEndSeq = anchorSeq + options.after;\n63\t const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n64\t db.close();\n65\t return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n66\t}\n67\t\n68\texport function getMessagePage(\n69\t dbPath: string,\n70\t sessionUuid: string,\n71\t offset: number,\n72\t limit: number,\n73\t): {\n74\t session: SessionRecord;\n75\t offset: number;\n76\t limit: number;\n77\t totalCount: number;\n78\t hasMore: boolean;\n79\t messages: ReturnType<typeof getMessagesForPage>;\n80\t} {\n81\t const db = openReadDb(dbPath);\n82\t const session = getSessionRecord(db, sessionUuid);\n83\t if (!session) throw new Error(`session not found: ${sessionUuid}`);\n84\t const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n85\t const totalCount = session.messageCount;\n86\t const hasMore = offset + messages.length < totalCount;\n87\t db.close();\n88\t return { session, offset, limit, totalCount, hasMore, messages };\n89\t}\n90\t\n91\texport function listSessionSummaries(\n92\t dbPath: string,\n93\t query: SessionListQuery,\n94\t): { query: SessionListQuery; results: SessionListEntry[] } {\n95\t const db = openReadDb(dbPath);\n96\t const results = listSessions(db, query);\n97\t db.close();\n98\t return { query, results };\n99\t}\n100\t\n101\texport function getCurrentSessions(\n102\t stateDbPath: string,\n103\t cwd: string,\n104\t limit: number,\n105\t): { cwd: string; candidates: CurrentSessionCandidate[] } {\n106\t const normalizedCwd = cwd.trim();\n107\t if (!normalizedCwd) {\n108\t return { cwd: normalizedCwd, candidates: [] };\n109\t }\n110\t\n111\t const db = new Database(stateDbPath, { readonly: true });\n112\t try {\n113\t const candidates = db\n114\t .query<CurrentSessionCandidate, [string, number]>(`\n115\t SELECT\n116\t id AS sessionUuid,\n117\t title,\n118\t cwd,\n119\t rollout_path AS filePath,\n120\t COALESCE(updated_at_ms, 0) AS updatedAtMs\n121\t FROM threads\n122\t WHERE cwd = ?\n123\t ORDER BY updated_at_ms DESC\n124\t LIMIT ?\n125\t `)\n126\t .all(normalizedCwd, limit) as CurrentSessionCandidate[];\n127\t return { cwd: normalizedCwd, candidates };\n128\t } finally {\n129\t db.close();\n130\t }\n131\t}\n132\t\n133\texport function collectStats(dbPath: string): StatsSummary {\n134\t const db = openReadDb(dbPath);\n135\t const counts = getStatsCounts(db);\n136\t const topCwds = getTopCwds(db, 10);\n137\t db.close();\n138\t\n139\t let dbSizeBytes = 0;\n140\t try {\n141\t dbSizeBytes = statSync(dbPath).size;\n142\t } catch {\n143\t dbSizeBytes = 0;\n144\t }\n145\t\n146\t return {\n147\t sessionCount: counts.sessionCount,\n148\t messageCount: counts.messageCount,\n149\t earliestStartedAt: counts.earliestStartedAt,\n150\t latestEndedAt: counts.latestEndedAt,\n151\t topCwds,\n152\t indexVersion: INDEX_VERSION,\n153\t dbPath,\n154\t dbSizeBytes,\n155\t lastSyncAt: counts.lastSyncAt,\n156\t };\n157\t}\n158\t\n159\tfunction resolveAnchorSeq(\n160\t db: Database,\n161\t sessionUuid: string,\n162\t seq?: number,\n163\t query?: string,\n164\t): number {\n165\t if (typeof seq === \"number\") {\n166\t return seq;\n167\t }\n168\t\n169\t if (query) {\n170\t const best = searchTopHitInSession(db, sessionUuid, query);\n171\t if (best && typeof best.matchSeq === \"number\") return best.matchSeq;\n172\t }\n173\t\n174\t throw new Error(\"read-range requires explicit session_uuid plus either --seq or --query\");\n175\t}\n176\t\n177\tfunction searchTopHitInSession(db: Database, sessionUuid: string, query: string): FindResult | null {\n178\t const rows = searchMessageHits(db, query, 20, sessionUuid);\n179\t const result = rerankHits(rows, query, 1)[0];\n180\t return result ?? null;\n181\t}\n182\t\n183\tfunction searchMessageHits(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n184\t const normalized = query.trim();\n185\t if (!normalized) return [];\n186\t\n187\t const terms = queryTerms(normalized);\n188\t // Queries that degenerate to zero tokens (e.g. a single kanji dropped as\n189\t // stop-word-like noise, or whitespace only) cannot hit the FTS index. Fall\n190\t // back to a bounded LIKE scan so single-character CJK probes still work\n191\t // even though they are discouraged.\n192\t if (terms.length === 0) {\n193\t if (hasCjk(normalized)) return searchByLike(db, normalized, limit, sessionUuid);\n194\t return [];\n195\t }\n196\t\n197\t return searchByFts(db, terms, limit, sessionUuid);\n198\t}\n199\t\n200\tfunction searchSessionHits(db: Database, query: string, limit: number): RawHitRow[] {\n201\t const normalized = query.trim();\n202\t if (!normalized || !tableExists(db, \"sessions_fts\")) return [];\n203\t\n204\t const terms = queryTerms(normalized);\n205\t if (terms.length === 0) return [];\n206\t\n207\t return searchSessionsByFts(db, normalized, terms, limit);\n208\t}\n209\t\n210\tfunction searchByFts(\n211\t db: Database,\n212\t terms: string[],\n213\t limit: number,\n214\t sessionUuid?: string,\n215\t): RawHitRow[] {\n216\t const matchExpr = buildFtsMatch(terms);\n217\t const conditions = [`messages_fts MATCH ?`];\n218\t const params: SqlParams = [matchExpr];\n219\t\n220\t if (sessionUuid) {\n221\t conditions.push(\"m.session_uuid = ?\");\n222\t params.push(sessionUuid);\n223\t }\n224\t params.push(limit);\n225\t\n226\t return db\n227\t .query<RawHitRow, typeof params>(`\n228\t SELECT\n229\t s.session_uuid AS sessionUuid,\n230\t s.title AS title,\n231\t s.summary_text AS summaryText,\n232\t s.cwd AS cwd,\n233\t s.started_at AS startedAt,\n234\t s.ended_at AS endedAt,\n235\t 'message' AS matchSource,\n236\t m.seq AS matchSeq,\n237\t m.role AS matchRole,\n238\t m.timestamp AS matchTimestamp,\n239\t m.content_text AS contentText,\n240\t snippet(messages_fts, 0, '<mark>', '</mark>', '…', 16) AS snippet,\n241\t bm25(messages_fts) AS score\n242\t FROM messages_fts\n243\t JOIN messages m ON m.id = messages_fts.rowid\n244\t JOIN sessions s ON s.id = m.session_id\n245\t WHERE ${conditions.join(\" AND \")}\n246\t ORDER BY score\n247\t LIMIT ?\n248\t `)\n249\t .all(...params) as RawHitRow[];\n250\t}\n251\t\n252\tfunction searchSessionsByFts(\n253\t db: Database,\n254\t query: string,\n255\t terms: string[],\n256\t limit: number,\n257\t): RawHitRow[] {\n258\t const matchExpr = buildFtsMatch(terms);\n259\t const rows = db\n260\t .query<RawHitRow, [string, number]>(`\n261\t SELECT\n262\t s.session_uuid AS sessionUuid,\n263\t s.title AS title,\n264\t s.summary_text AS summaryText,\n265\t s.cwd AS cwd,\n266\t s.started_at AS startedAt,\n267\t s.ended_at AS endedAt,\n268\t 'session' AS matchSource,\n269\t NULL AS matchSeq,\n270\t 'session' AS matchRole,\n271\t NULL AS matchTimestamp,\n272\t s.title || char(10) || s.summary_text || char(10) || s.compact_text || char(10) || s.reasoning_summary_text AS contentText,\n273\t '' AS snippet,\n274\t bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2) AS score\n275\t FROM sessions_fts\n276\t JOIN sessions s ON s.id = sessions_fts.rowid\n277\t WHERE sessions_fts MATCH ?\n278\t ORDER BY score\n279\t LIMIT ?\n280\t `)\n281\t .all(matchExpr, limit) as RawHitRow[];\n282\t\n283\t return rows.map((row) => ({\n284\t ...row,\n285\t snippet: makeRawSnippet(row.contentText, query, terms),\n286\t }));\n287\t}\n288\t\n289\tfunction searchByLike(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n290\t const conditions = [\"lower(m.content_text) LIKE ? ESCAPE '\\\\'\"];\n291\t const params: SqlParams = [`%${escapeLike(query.toLowerCase())}%`];\n292\t if (sessionUuid) {\n293\t conditions.push(\"m.session_uuid = ?\");\n294\t params.push(sessionUuid);\n295\t }\n296\t params.push(limit);\n297\t\n298\t const rows = db\n299\t .query<RawHitRow & { contentText: string }, typeof params>(`\n300\t SELECT\n301\t s.session_uuid AS sessionUuid,\n302\t s.title AS title,\n303\t s.summary_text AS summaryText,\n304\t s.cwd AS cwd,\n305\t s.started_at AS startedAt,\n306\t s.ended_at AS endedAt,\n307\t 'message' AS matchSource,\n308\t m.seq AS matchSeq,\n309\t m.role AS matchRole,\n310\t m.timestamp AS matchTimestamp,\n311\t m.content_text AS contentText\n312\t FROM messages m\n313\t JOIN sessions s ON s.id = m.session_id\n314\t WHERE ${conditions.join(\" AND \")}\n315\t ORDER BY s.started_at DESC, m.seq ASC\n316\t LIMIT ?\n317\t `)\n318\t .all(...params) as Array<RawHitRow & { contentText: string }>;\n319\t\n320\t return rows.map((row, index) => ({\n321\t ...row,\n322\t snippet: makeLikeSnippet(row.contentText, query),\n323\t // Negate the ordinal so LIKE rows share the \"lower is better\" polarity\n324\t // with bm25() scores; downstream rerank sorts on row metrics, but any\n325\t // code that touches this raw score won't see a sign mismatch.\n326\t score: -(index + 1),\n327\t }));\n328\t}\n329\t\n330\tfunction tableExists(db: Database, tableName: string): boolean {\n331\t const row = db\n332\t .query<unknown, [string]>(\"SELECT 1 FROM sqlite_master WHERE name = ? LIMIT 1\")\n333\t .get(tableName);\n334\t return Boolean(row);\n335\t}\n336\t\n337\t/**\n338\t * Build an FTS5 MATCH expression from already-tokenized terms. Each term is\n339\t * quoted and ANDed, giving us intersection semantics across CJK bigrams and\n340\t * non-CJK words alike.\n341\t */\n342\tfunction buildFtsMatch(terms: string[]): string {\n343\t return terms.map(quoteFtsTerm).join(\" AND \");\n344\t}\n345\t\n346\tfunction quoteFtsTerm(term: string): string {\n347\t // FTS5 treats unquoted * / ^ / NEAR / NOT / AND / OR as operators. Wrapping\n348\t // each term in double quotes neutralizes all of them (including *), and we\n349\t // escape internal quotes by doubling them. Bigrams stay bigrams.\n350\t const escaped = term.replaceAll('\"', '\"\"');\n351\t return `\"${escaped}\"`;\n352\t}\n353\t\n354\t// LIKE-path escape stays unchanged: only CJK single-character probes and\n355\t// empty-token queries fall through to this branch now.\n356\tfunction escapeLike(value: string): string {\n357\t return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n358\t}\n359\t\n360\tfunction makeLikeSnippet(content: string, query: string): string {\n361\t const lower = content.toLowerCase();\n362\t const target = query.toLowerCase();\n363\t const index = lower.indexOf(target);\n364\t if (index < 0) return content.slice(0, 160);\n365\t const start = Math.max(0, index - 40);\n366\t const end = Math.min(content.length, index + target.length + 80);\n367\t const prefix = start > 0 ? \"…\" : \"\";\n368\t const suffix = end < content.length ? \"…\" : \"\";\n369\t const snippet = content.slice(start, end);\n370\t // Re-scan the snippet slice and wrap every occurrence so the returned\n371\t // snippet agrees with FTS5's snippet() which highlights all matches.\n372\t const highlighted = wrapAllOccurrences(snippet, target);\n373\t return `${prefix}${highlighted}${suffix}`;\n374\t}\n375\t\n376\tfunction makeRawSnippet(content: string, query: string, terms: string[]): string {\n377\t const normalizedQuery = query.toLowerCase();\n378\t const lower = content.toLowerCase();\n379\t const phraseIndex = normalizedQuery ? lower.indexOf(normalizedQuery) : -1;\n380\t if (phraseIndex >= 0) {\n381\t return snippetAround(content, phraseIndex, query.length, [normalizedQuery]);\n382\t }\n383\t\n384\t const termLowers = uniqueNonEmpty(terms.map((term) => term.toLowerCase()));\n385\t const termHits = termLowers.flatMap((term) => collectTermHits(lower, term));\n386\t if (termHits.length === 0) return content.slice(0, 160);\n387\t\n388\t const bestWindow = termHits\n389\t .map((hit) => {\n390\t const start = Math.max(0, hit.index - 40);\n391\t const end = Math.min(content.length, hit.index + hit.length + 80);\n392\t return {\n393\t start,\n394\t end,\n395\t anchor: hit.index,\n396\t score: scoreSnippetWindow(lower.slice(start, end), termLowers),\n397\t };\n398\t })\n399\t .sort((left, right) => {\n400\t if (right.score !== left.score) return right.score - left.score;\n401\t return left.anchor - right.anchor;\n402\t })[0];\n403\t\n404\t return snippetWindow(content, bestWindow.start, bestWindow.end, termLowers);\n405\t}\n406\t\n407\tfunction snippetAround(content: string, index: number, length: number, needleLowers: string[]): string {\n408\t const start = Math.max(0, index - 40);\n409\t const end = Math.min(content.length, index + length + 80);\n410\t return snippetWindow(content, start, end, needleLowers);\n411\t}\n412\t\n413\tfunction snippetWindow(content: string, start: number, end: number, needleLowers: string[]): string {\n414\t const prefix = start > 0 ? \"…\" : \"\";\n415\t const suffix = end < content.length ? \"…\" : \"\";\n416\t const snippet = content.slice(start, end);\n417\t return `${prefix}${wrapAnyOccurrences(snippet, needleLowers)}${suffix}`;\n418\t}\n419\t\n420\tfunction collectTermHits(lower: string, termLower: string): Array<{ index: number; length: number }> {\n421\t const hits: Array<{ index: number; length: number }> = [];\n422\t let cursor = 0;\n423\t while (cursor < lower.length) {\n424\t const index = lower.indexOf(termLower, cursor);\n425\t if (index < 0) break;\n426\t hits.push({ index, length: termLower.length });\n427\t cursor = index + termLower.length;\n428\t }\n429\t return hits;\n430\t}\n431\t\n432\tfunction scoreSnippetWindow(lowerSnippet: string, termLowers: string[]): number {\n433\t let distinctTerms = 0;\n434\t let totalHits = 0;\n435\t let matchedChars = 0;\n436\t\n437\t for (const term of termLowers) {\n438\t const hits = collectTermHits(lowerSnippet, term).length;\n439\t if (hits > 0) distinctTerms += 1;\n440\t totalHits += hits;\n441\t matchedChars += hits * term.length;\n442\t }\n443\t\n444\t return distinctTerms * 1_000 + matchedChars * 10 + totalHits;\n445\t}\n446\t\n447\tfunction uniqueNonEmpty(values: string[]): string[] {\n448\t return [...new Set(values.filter(Boolean))];\n449\t}\n450\t\n451\tfunction wrapAnyOccurrences(haystack: string, needleLowers: string[]): string {\n452\t const needles = uniqueNonEmpty(needleLowers).sort((left, right) => right.length - left.length);\n453\t if (needles.length === 0) return haystack;\n454\t\n455\t const lower = haystack.toLowerCase();\n456\t const matches = needles\n457\t .flatMap((needle) => collectTermHits(lower, needle))\n458\t .sort((left, right) => {\n459\t if (left.index !== right.index) return left.index - right.index;\n460\t return right.length - left.length;\n461\t });\n462\t\n463\t const out: string[] = [];\n464\t let cursor = 0;\n465\t for (const match of matches) {\n466\t if (match.index < cursor) continue;\n467\t out.push(haystack.slice(cursor, match.index));\n468\t out.push(\"<mark>\");\n469\t out.push(haystack.slice(match.index, match.index + match.length));\n470\t out.push(\"</mark>\");\n471\t cursor = match.index + match.length;\n472\t }\n473\t out.push(haystack.slice(cursor));\n474\t return out.join(\"\");\n475\t}\n476\t\n477\tfunction wrapAllOccurrences(haystack: string, needleLower: string): string {\n478\t if (!needleLower) return haystack;\n479\t const out: string[] = [];\n480\t let cursor = 0;\n481\t const lower = haystack.toLowerCase();\n482\t while (cursor < haystack.length) {\n483\t const hit = lower.indexOf(needleLower, cursor);\n484\t if (hit < 0) {\n485\t out.push(haystack.slice(cursor));\n486\t break;\n487\t }\n488\t out.push(haystack.slice(cursor, hit));\n489\t out.push(\"<mark>\");\n490\t out.push(haystack.slice(hit, hit + needleLower.length));\n491\t out.push(\"</mark>\");\n492\t cursor = hit + needleLower.length;\n493\t }\n494\t return out.join(\"\");\n495\t}\n496\t\n497\t// Re-export for callers that still rely on the old helper name.\n498\texport function isCjkTerm(token: string): boolean {\n499\t return isCjkToken(token);\n500\t}\n501\t"}]},"uuid":"68c936ae-7864-4d20-9a61-b44023864ecf","timestamp":"2026-04-27T03:55:59.391Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","content":"import { Database } from \"bun:sqlite\";\nimport type { SQLQueryBindings } from \"bun:sqlite\";\nimport { statSync } from \"node:fs\";\nimport {\n getMessagesForPage,\n getMessagesForRange,\n getSessionRecord,\n getStatsCounts,\n getTopCwds,\n listSessions,\n openReadDb,\n} from \"./db\";\nimport { INDEX_VERSION } from \"./env\";\nimport { classifyQueryProfile, rerankHits } from \"./ranking\";\nimport type { RawHitRow } from \"./ranking\";\nimport { hasCjk, isCjkToken, queryTerms } from \"./tokenize\";\nimport type {\n CurrentSessionCandidate,\n FindResult,\n SessionListEntry,\n SessionListQuery,\n SessionRecord,\n StatsSummary,\n} from \"./types\";\n\nexport { classifyQueryProfile } from \"./ranking\";\ntype SqlParams = SQLQueryBindings[];\n\nexport function findSessions(\n dbPath: string,\n query: string,\n limit: number,\n): { query: string; results: FindResult[] } {\n const db = openReadDb(dbPath);\n const recallLimit = Math.max(limit * 12, 50);\n const rawRows = [\n ...searchMessageHits(db, query, recallLimit),\n ...searchSessionHits(db, query, recallLimit),\n ];\n const results = rerankHits(rawRows, query, limit);\n db.close();\n return { query, results };\n}\n\nexport function getMessageRange(\n dbPath: string,\n sessionUuid: string,\n options: { seq?: number; query?: string; before: number; after: number },\n): {\n session: SessionRecord;\n anchorSeq: number;\n rangeStartSeq: number;\n rangeEndSeq: number;\n messages: ReturnType<typeof getMessagesForRange>;\n} {\n const db = openReadDb(dbPath);\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n db.close();\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n}\n\nexport function getMessagePage(\n dbPath: string,\n sessionUuid: string,\n offset: number,\n limit: number,\n): {\n session: SessionRecord;\n offset: number;\n limit: number;\n totalCount: number;\n hasMore: boolean;\n messages: ReturnType<typeof getMessagesForPage>;\n} {\n const db = openReadDb(dbPath);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n db.close();\n return { session, offset, limit, totalCount, hasMore, messages };\n}\n\nexport function listSessionSummaries(\n dbPath: string,\n query: SessionListQuery,\n): { query: SessionListQuery; results: SessionListEntry[] } {\n const db = openReadDb(dbPath);\n const results = listSessions(db, query);\n db.close();\n return { query, results };\n}\n\nexport function getCurrentSessions(\n stateDbPath: string,\n cwd: string,\n limit: number,\n): { cwd: string; candidates: CurrentSessionCandidate[] } {\n const normalizedCwd = cwd.trim();\n if (!normalizedCwd) {\n return { cwd: normalizedCwd, candidates: [] };\n }\n\n const db = new Database(stateDbPath, { readonly: true });\n try {\n const candidates = db\n .query<CurrentSessionCandidate, [string, number]>(`\n SELECT\n id AS sessionUuid,\n title,\n cwd,\n rollout_path AS filePath,\n COALESCE(updated_at_ms, 0) AS updatedAtMs\n FROM threads\n WHERE cwd = ?\n ORDER BY updated_at_ms DESC\n LIMIT ?\n `)\n .all(normalizedCwd, limit) as CurrentSessionCandidate[];\n return { cwd: normalizedCwd, candidates };\n } finally {\n db.close();\n }\n}\n\nexport function collectStats(dbPath: string): StatsSummary {\n const db = openReadDb(dbPath);\n const counts = getStatsCounts(db);\n const topCwds = getTopCwds(db, 10);\n db.close();\n\n let dbSizeBytes = 0;\n try {\n dbSizeBytes = statSync(dbPath).size;\n } catch {\n dbSizeBytes = 0;\n }\n\n return {\n sessionCount: counts.sessionCount,\n messageCount: counts.messageCount,\n earliestStartedAt: counts.earliestStartedAt,\n latestEndedAt: counts.latestEndedAt,\n topCwds,\n indexVersion: INDEX_VERSION,\n dbPath,\n dbSizeBytes,\n lastSyncAt: counts.lastSyncAt,\n };\n}\n\nfunction resolveAnchorSeq(\n db: Database,\n sessionUuid: string,\n seq?: number,\n query?: string,\n): number {\n if (typeof seq === \"number\") {\n return seq;\n }\n\n if (query) {\n const best = searchTopHitInSession(db, sessionUuid, query);\n if (best && typeof best.matchSeq === \"number\") return best.matchSeq;\n }\n\n throw new Error(\"read-range requires explicit session_uuid plus either --seq or --query\");\n}\n\nfunction searchTopHitInSession(db: Database, sessionUuid: string, query: string): FindResult | null {\n const rows = searchMessageHits(db, query, 20, sessionUuid);\n const result = rerankHits(rows, query, 1)[0];\n return result ?? null;\n}\n\nfunction searchMessageHits(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n const normalized = query.trim();\n if (!normalized) return [];\n\n const terms = queryTerms(normalized);\n // Queries that degenerate to zero tokens (e.g. a single kanji dropped as\n // stop-word-like noise, or whitespace only) cannot hit the FTS index. Fall\n // back to a bounded LIKE scan so single-character CJK probes still work\n // even though they are discouraged.\n if (terms.length === 0) {\n if (hasCjk(normalized)) return searchByLike(db, normalized, limit, sessionUuid);\n return [];\n }\n\n return searchByFts(db, terms, limit, sessionUuid);\n}\n\nfunction searchSessionHits(db: Database, query: string, limit: number): RawHitRow[] {\n const normalized = query.trim();\n if (!normalized || !tableExists(db, \"sessions_fts\")) return [];\n\n const terms = queryTerms(normalized);\n if (terms.length === 0) return [];\n\n return searchSessionsByFts(db, normalized, terms, limit);\n}\n\nfunction searchByFts(\n db: Database,\n terms: string[],\n limit: number,\n sessionUuid?: string,\n): RawHitRow[] {\n const matchExpr = buildFtsMatch(terms);\n const conditions = [`messages_fts MATCH ?`];\n const params: SqlParams = [matchExpr];\n\n if (sessionUuid) {\n conditions.push(\"m.session_uuid = ?\");\n params.push(sessionUuid);\n }\n params.push(limit);\n\n return db\n .query<RawHitRow, typeof params>(`\n SELECT\n s.session_uuid AS sessionUuid,\n s.title AS title,\n s.summary_text AS summaryText,\n s.cwd AS cwd,\n s.started_at AS startedAt,\n s.ended_at AS endedAt,\n 'message' AS matchSource,\n m.seq AS matchSeq,\n m.role AS matchRole,\n m.timestamp AS matchTimestamp,\n m.content_text AS contentText,\n snippet(messages_fts, 0, '<mark>', '</mark>', '…', 16) AS snippet,\n bm25(messages_fts) AS score\n FROM messages_fts\n JOIN messages m ON m.id = messages_fts.rowid\n JOIN sessions s ON s.id = m.session_id\n WHERE ${conditions.join(\" AND \")}\n ORDER BY score\n LIMIT ?\n `)\n .all(...params) as RawHitRow[];\n}\n\nfunction searchSessionsByFts(\n db: Database,\n query: string,\n terms: string[],\n limit: number,\n): RawHitRow[] {\n const matchExpr = buildFtsMatch(terms);\n const rows = db\n .query<RawHitRow, [string, number]>(`\n SELECT\n s.session_uuid AS sessionUuid,\n s.title AS title,\n s.summary_text AS summaryText,\n s.cwd AS cwd,\n s.started_at AS startedAt,\n s.ended_at AS endedAt,\n 'session' AS matchSource,\n NULL AS matchSeq,\n 'session' AS matchRole,\n NULL AS matchTimestamp,\n s.title || char(10) || s.summary_text || char(10) || s.compact_text || char(10) || s.reasoning_summary_text AS contentText,\n '' AS snippet,\n bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2) AS score\n FROM sessions_fts\n JOIN sessions s ON s.id = sessions_fts.rowid\n WHERE sessions_fts MATCH ?\n ORDER BY score\n LIMIT ?\n `)\n .all(matchExpr, limit) as RawHitRow[];\n\n return rows.map((row) => ({\n ...row,\n snippet: makeRawSnippet(row.contentText, query, terms),\n }));\n}\n\nfunction searchByLike(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n const conditions = [\"lower(m.content_text) LIKE ? ESCAPE '\\\\'\"];\n const params: SqlParams = [`%${escapeLike(query.toLowerCase())}%`];\n if (sessionUuid) {\n conditions.push(\"m.session_uuid = ?\");\n params.push(sessionUuid);\n }\n params.push(limit);\n\n const rows = db\n .query<RawHitRow & { contentText: string }, typeof params>(`\n SELECT\n s.session_uuid AS sessionUuid,\n s.title AS title,\n s.summary_text AS summaryText,\n s.cwd AS cwd,\n s.started_at AS startedAt,\n s.ended_at AS endedAt,\n 'message' AS matchSource,\n m.seq AS matchSeq,\n m.role AS matchRole,\n m.timestamp AS matchTimestamp,\n m.content_text AS contentText\n FROM messages m\n JOIN sessions s ON s.id = m.session_id\n WHERE ${conditions.join(\" AND \")}\n ORDER BY s.started_at DESC, m.seq ASC\n LIMIT ?\n `)\n .all(...params) as Array<RawHitRow & { contentText: string }>;\n\n return rows.map((row, index) => ({\n ...row,\n snippet: makeLikeSnippet(row.contentText, query),\n // Negate the ordinal so LIKE rows share the \"lower is better\" polarity\n // with bm25() scores; downstream rerank sorts on row metrics, but any\n // code that touches this raw score won't see a sign mismatch.\n score: -(index + 1),\n }));\n}\n\nfunction tableExists(db: Database, tableName: string): boolean {\n const row = db\n .query<unknown, [string]>(\"SELECT 1 FROM sqlite_master WHERE name = ? LIMIT 1\")\n .get(tableName);\n return Boolean(row);\n}\n\n/**\n * Build an FTS5 MATCH expression from already-tokenized terms. Each term is\n * quoted and ANDed, giving us intersection semantics across CJK bigrams and\n * non-CJK words alike.\n */\nfunction buildFtsMatch(terms: string[]): string {\n return terms.map(quoteFtsTerm).join(\" AND \");\n}\n\nfunction quoteFtsTerm(term: string): string {\n // FTS5 treats unquoted * / ^ / NEAR / NOT / AND / OR as operators. Wrapping\n // each term in double quotes neutralizes all of them (including *), and we\n // escape internal quotes by doubling them. Bigrams stay bigrams.\n const escaped = term.replaceAll('\"', '\"\"');\n return `\"${escaped}\"`;\n}\n\n// LIKE-path escape stays unchanged: only CJK single-character probes and\n// empty-token queries fall through to this branch now.\nfunction escapeLike(value: string): string {\n return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n}\n\nfunction makeLikeSnippet(content: string, query: string): string {\n const lower = content.toLowerCase();\n const target = query.toLowerCase();\n const index = lower.indexOf(target);\n if (index < 0) return content.slice(0, 160);\n const start = Math.max(0, index - 40);\n const end = Math.min(content.length, index + target.length + 80);\n const prefix = start > 0 ? \"…\" : \"\";\n const suffix = end < content.length ? \"…\" : \"\";\n const snippet = content.slice(start, end);\n // Re-scan the snippet slice and wrap every occurrence so the returned\n // snippet agrees with FTS5's snippet() which highlights all matches.\n const highlighted = wrapAllOccurrences(snippet, target);\n return `${prefix}${highlighted}${suffix}`;\n}\n\nfunction makeRawSnippet(content: string, query: string, terms: string[]): string {\n const normalizedQuery = query.toLowerCase();\n const lower = content.toLowerCase();\n const phraseIndex = normalizedQuery ? lower.indexOf(normalizedQuery) : -1;\n if (phraseIndex >= 0) {\n return snippetAround(content, phraseIndex, query.length, [normalizedQuery]);\n }\n\n const termLowers = uniqueNonEmpty(terms.map((term) => term.toLowerCase()));\n const termHits = termLowers.flatMap((term) => collectTermHits(lower, term));\n if (termHits.length === 0) return content.slice(0, 160);\n\n const bestWindow = termHits\n .map((hit) => {\n const start = Math.max(0, hit.index - 40);\n const end = Math.min(content.length, hit.index + hit.length + 80);\n return {\n start,\n end,\n anchor: hit.index,\n score: scoreSnippetWindow(lower.slice(start, end), termLowers),\n };\n })\n .sort((left, right) => {\n if (right.score !== left.score) return right.score - left.score;\n return left.anchor - right.anchor;\n })[0];\n\n return snippetWindow(content, bestWindow.start, bestWindow.end, termLowers);\n}\n\nfunction snippetAround(content: string, index: number, length: number, needleLowers: string[]): string {\n const start = Math.max(0, index - 40);\n const end = Math.min(content.length, index + length + 80);\n return snippetWindow(content, start, end, needleLowers);\n}\n\nfunction snippetWindow(content: string, start: number, end: number, needleLowers: string[]): string {\n const prefix = start > 0 ? \"…\" : \"\";\n const suffix = end < content.length ? \"…\" : \"\";\n const snippet = content.slice(start, end);\n return `${prefix}${wrapAnyOccurrences(snippet, needleLowers)}${suffix}`;\n}\n\nfunction collectTermHits(lower: string, termLower: string): Array<{ index: number; length: number }> {\n const hits: Array<{ index: number; length: number }> = [];\n let cursor = 0;\n while (cursor < lower.length) {\n const index = lower.indexOf(termLower, cursor);\n if (index < 0) break;\n hits.push({ index, length: termLower.length });\n cursor = index + termLower.length;\n }\n return hits;\n}\n\nfunction scoreSnippetWindow(lowerSnippet: string, termLowers: string[]): number {\n let distinctTerms = 0;\n let totalHits = 0;\n let matchedChars = 0;\n\n for (const term of termLowers) {\n const hits = collectTermHits(lowerSnippet, term).length;\n if (hits > 0) distinctTerms += 1;\n totalHits += hits;\n matchedChars += hits * term.length;\n }\n\n return distinctTerms * 1_000 + matchedChars * 10 + totalHits;\n}\n\nfunction uniqueNonEmpty(values: string[]): string[] {\n return [...new Set(values.filter(Boolean))];\n}\n\nfunction wrapAnyOccurrences(haystack: string, needleLowers: string[]): string {\n const needles = uniqueNonEmpty(needleLowers).sort((left, right) => right.length - left.length);\n if (needles.length === 0) return haystack;\n\n const lower = haystack.toLowerCase();\n const matches = needles\n .flatMap((needle) => collectTermHits(lower, needle))\n .sort((left, right) => {\n if (left.index !== right.index) return left.index - right.index;\n return right.length - left.length;\n });\n\n const out: string[] = [];\n let cursor = 0;\n for (const match of matches) {\n if (match.index < cursor) continue;\n out.push(haystack.slice(cursor, match.index));\n out.push(\"<mark>\");\n out.push(haystack.slice(match.index, match.index + match.length));\n out.push(\"</mark>\");\n cursor = match.index + match.length;\n }\n out.push(haystack.slice(cursor));\n return out.join(\"\");\n}\n\nfunction wrapAllOccurrences(haystack: string, needleLower: string): string {\n if (!needleLower) return haystack;\n const out: string[] = [];\n let cursor = 0;\n const lower = haystack.toLowerCase();\n while (cursor < haystack.length) {\n const hit = lower.indexOf(needleLower, cursor);\n if (hit < 0) {\n out.push(haystack.slice(cursor));\n break;\n }\n 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\"./tokenize\";\n3\t\n4\texport interface RawHitRow {\n5\t sessionUuid: string;\n6\t title: string;\n7\t summaryText: string;\n8\t cwd: string;\n9\t startedAt: string;\n10\t endedAt: string;\n11\t matchSource: MatchSource;\n12\t matchSeq: number | null;\n13\t matchRole: FindMatchRole;\n14\t matchTimestamp: string | null;\n15\t contentText: string;\n16\t snippet: string;\n17\t // FTS path: negative bm25(). LIKE path: a small negative ordinal. Either\n18\t // way, lower is \"better\" from the SQL side; we flip the sign during\n19\t // rerank so all bonuses stay positive and additive.\n20\t score: number;\n21\t}\n22\t\n23\texport interface QueryProfile {\n24\t normalizedQuery: string;\n25\t terms: string[];\n26\t isMultiTerm: boolean;\n27\t}\n28\t\n29\t/**\n30\t * Kept for backward compat with callers that still read `kind`. The v3\n31\t * scoring pipeline does not branch on kind anymore; it treats `isMultiTerm`\n32\t * as a continuous signal instead. Single-term queries are labelled \"broad\",\n33\t * everything else \"exact\" to preserve existing external tests.\n34\t */\n35\texport function classifyQueryProfile(query: string): QueryProfile & { kind: \"broad\" | \"exact\" } {\n36\t const normalizedQuery = query.trim().toLowerCase();\n37\t const terms = queryTerms(query);\n38\t const hasMultipleRawTokens = query.trim().split(/\\s+/).filter(Boolean).length >= 2;\n39\t const hasDigits = /\\d/.test(query);\n40\t const hasPathLikeToken = /[\\\\/._:-]/.test(query);\n41\t // \"exact\" historically meant: user gave us enough signal that we should\n42\t // trust phrase matches heavily. Keep that label, but compute it off the\n43\t // raw query rather than the tokenized terms so the category stays stable\n44\t // for CJK queries that bigram-explode into many tokens.\n45\t const kind: \"broad\" | \"exact\" = hasMultipleRawTokens || hasDigits || hasPathLikeToken\n46\t ? \"exact\"\n47\t : \"broad\";\n48\t return {\n49\t kind,\n50\t normalizedQuery,\n51\t terms,\n52\t isMultiTerm: hasMultipleRawTokens,\n53\t };\n54\t}\n55\t\n56\tinterface SessionAggregate {\n57\t row: RawHitRow;\n58\t bestRow: RawHitRow;\n59\t bestDisplayRow: RawHitRow;\n60\t bestRowSignalScore: number;\n61\t bestDisplayRowSignalScore: number;\n62\t hitCount: number;\n63\t sessionHitCount: number;\n64\t userHitCount: number;\n65\t titlePhrase: boolean;\n66\t titleTermHits: number;\n67\t cwdTermHits: number;\n68\t}\n69\t\n70\texport function rerankHits(rows: RawHitRow[], query: string, limit: number): FindResult[] {\n71\t const profile = classifyQueryProfile(query);\n72\t const now = Date.now();\n73\t const grouped = new Map<string, SessionAggregate>();\n74\t\n75\t for (const row of rows) {\n76\t const signalScore = scoreRow(row, profile);\n77\t const existing = grouped.get(row.sessionUuid);\n78\t const rowTitleLower = row.title.toLowerCase();\n79\t const rowCwdLower = row.cwd.toLowerCase();\n80\t const titlePhrase = profile.normalizedQuery.length > 0\n81\t && rowTitleLower.includes(profile.normalizedQuery);\n82\t const titleTermHits = countMatchedTerms(rowTitleLower, profile.terms);\n83\t const cwdTermHits = countMatchedTerms(rowCwdLower, profile.terms);\n84\t\n85\t if (!existing) {\n86\t grouped.set(row.sessionUuid, {\n87\t row,\n88\t bestRow: row,\n89\t bestDisplayRow: row,\n90\t bestRowSignalScore: signalScore,\n91\t bestDisplayRowSignalScore: signalScore,\n92\t hitCount: 1,\n93\t sessionHitCount: row.matchSource === \"session\" ? 1 : 0,\n94\t userHitCount: row.matchRole === \"user\" ? 1 : 0,\n95\t titlePhrase,\n96\t titleTermHits,\n97\t cwdTermHits,\n98\t });\n99\t continue;\n100\t }\n101\t\n102\t existing.hitCount += 1;\n103\t if (row.matchSource === \"session\") existing.sessionHitCount += 1;\n104\t if (row.matchRole === \"user\") existing.userHitCount += 1;\n105\t existing.titlePhrase = existing.titlePhrase || titlePhrase;\n106\t existing.titleTermHits = Math.max(existing.titleTermHits, titleTermHits);\n107\t existing.cwdTermHits = Math.max(existing.cwdTermHits, cwdTermHits);\n108\t if (signalScore > existing.bestRowSignalScore) {\n109\t existing.bestRow = row;\n110\t existing.bestRowSignalScore = signalScore;\n111\t }\n112\t if (shouldUseDisplayRow(existing.bestDisplayRow, row, existing.bestDisplayRowSignalScore, signalScore)) {\n113\t existing.bestDisplayRow = row;\n114\t existing.bestDisplayRowSignalScore = signalScore;\n115\t }\n116\t }\n117\t\n118\t const ranked = Array.from(grouped.values())\n119\t .map((aggregate) => ({\n120\t aggregate,\n121\t sessionScore: scoreSession(aggregate, profile, now),\n122\t }))\n123\t .sort((left, right) => {\n124\t if (right.sessionScore !== left.sessionScore) {\n125\t return right.sessionScore - left.sessionScore;\n126\t }\n127\t return getTimestamp(right.aggregate.row.endedAt) - getTimestamp(left.aggregate.row.endedAt);\n128\t });\n129\t\n130\t return ranked.slice(0, limit).map(({ aggregate, sessionScore }, index) => ({\n131\t rank: index + 1,\n132\t sessionUuid: aggregate.row.sessionUuid,\n133\t title: aggregate.row.title,\n134\t summaryText: aggregate.row.summaryText,\n135\t cwd: aggregate.row.cwd,\n136\t startedAt: aggregate.row.startedAt,\n137\t endedAt: aggregate.row.endedAt,\n138\t matchCount: aggregate.hitCount,\n139\t matchSource: aggregate.bestDisplayRow.matchSource,\n140\t matchSeq: aggregate.bestDisplayRow.matchSeq,\n141\t matchRole: aggregate.bestDisplayRow.matchRole,\n142\t matchTimestamp: aggregate.bestDisplayRow.matchTimestamp,\n143\t score: sessionScore,\n144\t snippet: aggregate.bestDisplayRow.snippet,\n145\t }));\n146\t}\n147\t\n148\tfunction shouldUseDisplayRow(\n149\t current: RawHitRow,\n150\t candidate: RawHitRow,\n151\t currentScore: number,\n152\t candidateScore: number,\n153\t): boolean {\n154\t if (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\n155\t if (candidate.matchSource !== current.matchSource) return false;\n156\t return candidateScore > currentScore;\n157\t}\n158\t\n159\t/**\n160\t * Score a single FTS/LIKE row. Higher is better. The only signals we trust\n161\t * at row-level are:\n162\t * 1. The normalized FTS bm25 score (flipped so higher=better).\n163\t * 2. Whether the full query phrase appears verbatim in the content.\n164\t * 3. User-message bump (user-authored content is usually the search intent).\n165\t */\n166\tfunction scoreRow(row: RawHitRow, profile: QueryProfile): number {\n167\t const normalizedBm25 = -row.score; // higher is better now\n168\t const contentLower = row.contentText.toLowerCase();\n169\t const contentPhrase = profile.normalizedQuery.length > 0\n170\t && contentLower.includes(profile.normalizedQuery);\n171\t const termCoverage = countMatchedTerms(contentLower, profile.terms);\n172\t\n173\t return normalizedBm25\n174\t + (contentPhrase ? 8 : 0)\n175\t + termCoverage * 2\n176\t + (row.matchSource === \"message\" ? 4 : 0)\n177\t + (row.matchRole === \"user\" ? 2 : 0);\n178\t}\n179\t\n180\t/**\n181\t * Score a whole session. Combines the best row's signal score with session\n182\t * metadata signals (title, cwd, user-authored evidence, recency) so that a\n183\t * session whose raw FTS match is weaker but whose title/cwd strongly reflect\n184\t * the query can still win.\n185\t */\n186\tfunction scoreSession(aggregate: SessionAggregate, profile: QueryProfile, now: number): number {\n187\t const recencyBonus = recencyDecay(aggregate.row.endedAt, now);\n188\t\n189\t return aggregate.bestRowSignalScore\n190\t + (aggregate.titlePhrase ? 30 : 0)\n191\t + aggregate.titleTermHits * 10\n192\t + aggregate.cwdTermHits * 18\n193\t + Math.min(aggregate.userHitCount, 3) * 4\n194\t + Math.min(aggregate.sessionHitCount, 2) * 2\n195\t + Math.min(aggregate.hitCount, 6) * 1.5\n196\t + recencyBonus;\n197\t}\n198\t\n199\t/**\n200\t * Linear decay over a 120-day window. 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LIKE path: a small negative ordinal. Either\n // way, lower is \"better\" from the SQL side; we flip the sign during\n // rerank so all bonuses stay positive and additive.\n score: number;\n}\n\nexport interface QueryProfile {\n normalizedQuery: string;\n terms: string[];\n isMultiTerm: boolean;\n}\n\n/**\n * Kept for backward compat with callers that still read `kind`. The v3\n * scoring pipeline does not branch on kind anymore; it treats `isMultiTerm`\n * as a continuous signal instead. 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Keep that label, but compute it off the\n // raw query rather than the tokenized terms so the category stays stable\n // for CJK queries that bigram-explode into many tokens.\n const kind: \"broad\" | \"exact\" = hasMultipleRawTokens || hasDigits || hasPathLikeToken\n ? \"exact\"\n : \"broad\";\n return {\n kind,\n normalizedQuery,\n terms,\n isMultiTerm: hasMultipleRawTokens,\n };\n}\n\ninterface SessionAggregate {\n row: RawHitRow;\n bestRow: RawHitRow;\n bestDisplayRow: RawHitRow;\n bestRowSignalScore: number;\n bestDisplayRowSignalScore: number;\n hitCount: number;\n sessionHitCount: number;\n userHitCount: number;\n titlePhrase: boolean;\n titleTermHits: number;\n cwdTermHits: number;\n}\n\nexport function rerankHits(rows: RawHitRow[], query: string, limit: number): FindResult[] {\n const profile = classifyQueryProfile(query);\n const now = Date.now();\n const grouped = new Map<string, SessionAggregate>();\n\n for (const row of rows) {\n const signalScore = scoreRow(row, profile);\n const existing = grouped.get(row.sessionUuid);\n const rowTitleLower = row.title.toLowerCase();\n const rowCwdLower = row.cwd.toLowerCase();\n const titlePhrase = profile.normalizedQuery.length > 0\n && rowTitleLower.includes(profile.normalizedQuery);\n const titleTermHits = countMatchedTerms(rowTitleLower, profile.terms);\n const cwdTermHits = countMatchedTerms(rowCwdLower, profile.terms);\n\n if (!existing) {\n grouped.set(row.sessionUuid, {\n row,\n bestRow: row,\n bestDisplayRow: row,\n bestRowSignalScore: signalScore,\n bestDisplayRowSignalScore: signalScore,\n hitCount: 1,\n sessionHitCount: row.matchSource === \"session\" ? 1 : 0,\n userHitCount: row.matchRole === \"user\" ? 1 : 0,\n titlePhrase,\n titleTermHits,\n cwdTermHits,\n });\n continue;\n }\n\n existing.hitCount += 1;\n if (row.matchSource === \"session\") existing.sessionHitCount += 1;\n if (row.matchRole === \"user\") existing.userHitCount += 1;\n existing.titlePhrase = existing.titlePhrase || titlePhrase;\n existing.titleTermHits = Math.max(existing.titleTermHits, titleTermHits);\n existing.cwdTermHits = Math.max(existing.cwdTermHits, cwdTermHits);\n if (signalScore > existing.bestRowSignalScore) {\n existing.bestRow = row;\n existing.bestRowSignalScore = signalScore;\n }\n if (shouldUseDisplayRow(existing.bestDisplayRow, row, existing.bestDisplayRowSignalScore, signalScore)) {\n existing.bestDisplayRow = row;\n existing.bestDisplayRowSignalScore = signalScore;\n }\n }\n\n const ranked = Array.from(grouped.values())\n .map((aggregate) => ({\n aggregate,\n sessionScore: scoreSession(aggregate, profile, now),\n }))\n .sort((left, right) => {\n if (right.sessionScore !== left.sessionScore) {\n return right.sessionScore - left.sessionScore;\n }\n return getTimestamp(right.aggregate.row.endedAt) - getTimestamp(left.aggregate.row.endedAt);\n });\n\n return ranked.slice(0, limit).map(({ aggregate, sessionScore }, index) => ({\n rank: index + 1,\n sessionUuid: aggregate.row.sessionUuid,\n title: aggregate.row.title,\n summaryText: aggregate.row.summaryText,\n cwd: aggregate.row.cwd,\n startedAt: aggregate.row.startedAt,\n endedAt: aggregate.row.endedAt,\n matchCount: aggregate.hitCount,\n matchSource: aggregate.bestDisplayRow.matchSource,\n matchSeq: aggregate.bestDisplayRow.matchSeq,\n matchRole: aggregate.bestDisplayRow.matchRole,\n matchTimestamp: aggregate.bestDisplayRow.matchTimestamp,\n score: sessionScore,\n snippet: aggregate.bestDisplayRow.snippet,\n }));\n}\n\nfunction shouldUseDisplayRow(\n current: RawHitRow,\n candidate: RawHitRow,\n currentScore: number,\n candidateScore: number,\n): boolean {\n if (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\n if (candidate.matchSource !== current.matchSource) return false;\n return candidateScore > currentScore;\n}\n\n/**\n * Score a single FTS/LIKE row. Higher is better. The only signals we trust\n * at row-level are:\n * 1. The normalized FTS bm25 score (flipped so higher=better).\n * 2. Whether the full query phrase appears verbatim in the content.\n * 3. User-message bump (user-authored content is usually the search intent).\n */\nfunction scoreRow(row: RawHitRow, profile: QueryProfile): number {\n const normalizedBm25 = -row.score; // higher is better now\n const contentLower = row.contentText.toLowerCase();\n const contentPhrase = profile.normalizedQuery.length > 0\n && contentLower.includes(profile.normalizedQuery);\n const termCoverage = countMatchedTerms(contentLower, profile.terms);\n\n return normalizedBm25\n + (contentPhrase ? 8 : 0)\n + termCoverage * 2\n + (row.matchSource === \"message\" ? 4 : 0)\n + (row.matchRole === \"user\" ? 2 : 0);\n}\n\n/**\n * Score a whole session. Combines the best row's signal score with session\n * metadata signals (title, cwd, user-authored evidence, recency) so that a\n * session whose raw FTS match is weaker but whose title/cwd strongly reflect\n * the query can still win.\n */\nfunction scoreSession(aggregate: SessionAggregate, profile: QueryProfile, now: number): number {\n const recencyBonus = recencyDecay(aggregate.row.endedAt, now);\n\n return aggregate.bestRowSignalScore\n + (aggregate.titlePhrase ? 30 : 0)\n + aggregate.titleTermHits * 10\n + aggregate.cwdTermHits * 18\n + Math.min(aggregate.userHitCount, 3) * 4\n + Math.min(aggregate.sessionHitCount, 2) * 2\n + Math.min(aggregate.hitCount, 6) * 1.5\n + recencyBonus;\n}\n\n/**\n * Linear decay over a 120-day window. 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tests---\ncompare-eval-batches.ts\ncompare.test.ts\ncompare.ts\nmanual-eval-core.test.ts\nmanual-eval-core.ts\nmanual-queries.json\nrun-manual-eval.ts\n---bench---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"b52c21a8-176f-469e-b29c-59394212ba7a","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 37 37 + 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38 38 + {"parentUuid":"4a5139a3-f792-4237-8304-e7babbf6012a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01VkAfaxtFf3R1RucmFCMRfT","type":"message","role":"assistant","content":[{"type":"text","text":"逐条核查完毕。报告整体方向准确，但有一条已经过时。\n\n## 核查结果\n\n| 条目 | 是否属实 | 证据 |\n|------|---------|------|\n| **P0-1** 缺少 `tsc --noEmit` | ❌ **已不属实** | `package.json:31` 已是 `\"check\": \"tsc --noEmit && bun test\"`，`tsconfig.json` 已存在并启用 `strict`。最近一次 commit `be75d87 chore: add TypeScript check` 就是加这个的 — 报告写于该修复之前 |\n| **P0-2** DB 连接异常路径泄漏 | ✅ 属实 | `query.ts` 中 `findSessions`(34-43)、`getMessageRange`(56-66)、`getMessagePage`(80-89)、`listSessionSummaries`(94-99)、`collectStats`(133-156) 都是 `open → work → close` 平铺写法，throw 会跳过 `db.close()`。只有 `getCurrentSessions`(111-131) 用了 `try/finally` |\n| **P0-3** sync lock stale 清理 race | ✅ 属实 | `sync-lock.ts:48-52` 读到 dead pid 后直接 `removeLockIfPresent`，没做 pid+createdAt 二次比对;但 `releaseSyncLock`(62-67) 反而做了比对 — 一致性缺口确实存在 |\n| **P0-4** `current` 对 state DB schema 假设硬 | ✅ 属实 | `query.ts:113-126` 直接 `SELECT id, rollout_path, cwd, title, updated_at_ms FROM threads`，没有 `sqlite_master` 检查也没有 schema mismatch 的友好降级 |\n| **P1-1** ranking 堆 magic constants | ✅ 属实 | `ranking.ts` 中 phrase=8、coverage×2、message=4、user=2、titlePhrase=30、titleTerm×10、cwdTerm×18、user clamp×4、sessionHit clamp×2、hitCount×1.5、recency 18 - 0.15×day 等;SQL 里还有 `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)` |\n| **P1-2** mixed match 缺专门测试 | ✅ 大致属实 | `query.test.ts` 里只有\"session-level fields have explicit ranking weights\"等 session-only 用例,没看到\"同 session 同时含强 session hit + 弱 message hit\"的对照测试,而 `ranking.ts:148-157` 的 `shouldUseDisplayRow`(message 优先于 session)恰恰是这种场景的关键行为 |\n| **P1-3** 缺真实大库性能基准 | ✅ 属实 | 仓库里搜不到 `*bench*` / `*perf*` 文件,`eval/` 下只有 manual eval 和 compare,没有 p95/规模回归 |\n\n## 结论\n\n报告是 commit `ca4091f docs: update cxs architecture and quality review` 那一版,**写完之后用户又补了 `be75d87` 把 TypeScript check 加上了** — 所以 P0-1 这一条现在不再属实,文档建议同步更新一下(把 P0-1 移到\"已修复\"区或删掉)。\n\n其余 6 条(P0-2/3/4、P1-1/2/3)与代码现状一致,可以直接按报告里的优先级推进。其中 P0-2 是机械改动收益高(把 5 个函数统一成 try/finally);P0-3 是真实并发隐患;P0-4 对开源后跨版本 Codex state DB 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{"parentUuid":"9a86e3c4-e10f-42b1-8db6-e5fd1caec7e3","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01UG23ZQHP3SD3PXWSDSSK5H","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4126,"cache_read_input_tokens":71283,"output_tokens":1794,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4126},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":1794,"cache_read_input_tokens":71283,"cache_creation_input_tokens":4126,"cache_creation":{"ephemeral_5m_input_tokens":4126,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"721251da-32a7-46b9-ac50-5886254a772e","timestamp":"2026-04-27T03:58:04.586Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 47 47 + {"parentUuid":"721251da-32a7-46b9-ac50-5886254a772e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01UG23ZQHP3SD3PXWSDSSK5H","type":"message","role":"assistant","content":[{"type":"text","text":"进入 plan mode。先用 Explore 把还没核实的点（DB 打开/关闭路径、CLI 对 `current` 的错误处理面、现有 lock 与 mixed-match 测试结构）摸清楚，然后再写 plan。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4126,"cache_read_input_tokens":71283,"output_tokens":1794,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4126},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":1794,"cache_read_input_tokens":71283,"cache_creation_input_tokens":4126,"cache_creation":{"ephemeral_5m_input_tokens":4126,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"bba8d384-78a2-4b57-8ad0-d00f9eadea2a","timestamp":"2026-04-27T03:58:06.064Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 48 48 + {"parentUuid":"bba8d384-78a2-4b57-8ad0-d00f9eadea2a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01UG23ZQHP3SD3PXWSDSSK5H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011YAUGDZpnmHJKWz4dTRiVQ","name":"Agent","input":{"description":"Explore DB open/close and CLI error path","subagent_type":"Explore","prompt":"仓库根目录是 /Users/envvar/work/repos/cxs（一个 Bun + TypeScript 写的本地 Codex session 检索 CLI）。\n\n我正在为一个代码质量修复 PR 写实施计划。请帮我精确摸清以下几个点，方便我写 plan。请只读，不要改任何文件。\n\n## 1. DB 打开/关闭抽象\n\n打开 db.ts，找出：\n- `openReadDb(dbPath)` 的实现（它如何建立 `Database`、是否设置 busy timeout、是否设置 readonly 等）\n- 是否还有 `openWriteDb` / 类似的写入入口\n- 是否有现成的 `withReadDb` / `withDb` 这样自动 close 的封装可复用；如果有，写出函数签名和文件行号\n- `getSessionRecord`、`getMessagesForRange`、`getMessagesForPage`、`listSessions`、`getStatsCounts`、`getTopCwds` 是否假设传入的 db 是已开的\n\n请给出函数签名 + 行号。\n\n## 2. CLI `current` 命令的错误处理面\n\n打开 cli.ts，找到 `current` 子命令注册的位置，告诉我：\n- 它怎么调用 query 层的 `getCurrentSessions`\n- 调用结果怎么打印（plain text vs `--json`）\n- 调用 throw 时 CLI 怎么处理（是直接冒泡成 stderr？有没有 try/catch？）\n- 是否其他子命令有标准的 \"structured error in --json mode\" 模式可以参考\n\n把关键行号摘出来。\n\n## 3. 现有 sync lock 测试\n\n打开 indexer.test.ts，找出：\n- 已有的 lock 相关测试用例的 `test(...)` 名字\n- 是否已经在测 stale lock 清理\n- 它们是怎么伪造 stale lock 文件的（手动 writeFile？mock pid？）\n\n把每个相关测试的简短描述 + 行号给我，让我知道在哪种风格里加新测试。\n\n## 4. 现有 mixed match 测试与 ranking 测试\n\n打开 query.test.ts，找出：\n- 涉及 `matchSource: \"session\"` 的测试\n- 是否已经有 \"同 session 同时含 message 命中 + session 命中\" 的对照测试\n- 测试是怎么组装数据的（是直接调 `findSessions`？还是先 sync 真实文件？还是直接 insert 到 DB？）\n\n把相关 test 名字 + 行号 + 简短数据组装方式列出来。\n\n## 5. types.ts 中相关类型\n\n简短列出 `MatchSource`、`FindMatchRole`、`FindResult`、`CurrentSessionCandidate`、`SessionListEntry` 的定义（行号 + 一行关键字段）。\n\n## 输出格式\n\n按 1/2/3/4/5 分节，每节列证据（文件路径 + 行号 + 关键代码片段或函数签名）。不要给修改建议，只要事实。控制在 400 词以内。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4126,"cache_read_input_tokens":71283,"output_tokens":1794,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4126},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":1794,"cache_read_input_tokens":71283,"cache_creation_input_tokens":4126,"cache_creation":{"ephemeral_5m_input_tokens":4126,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"4f32c6c7-8621-4256-bf57-52b90775ffaf","timestamp":"2026-04-27T03:58:24.181Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 49 49 + {"parentUuid":"4f32c6c7-8621-4256-bf57-52b90775ffaf","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_011YAUGDZpnmHJKWz4dTRiVQ","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"c5577db3-7450-4c25-982e-3d80d53e04a6","timestamp":"2026-04-27T03:58:24.222Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 50 50 + {"parentUuid":"4f32c6c7-8621-4256-bf57-52b90775ffaf","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011YAUGDZpnmHJKWz4dTRiVQ","type":"tool_result","content":[{"type":"text","text":"完美。现在我有了所有需要的信息。让我准备最终的报告。\n\n## 精确摸清报告\n\n### 1. DB 打开/关闭抽象\n\n**文件：/Users/envvar/work/repos/cxs/db.ts**\n\n- **`openReadDb(dbPath: string): Database`** (行 22-32)\n ```typescript\n export function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n }\n ```\n\n- **`openWriteDb(dbPath: string): Database`** (行 34-43)\n ```typescript\n export function openWriteDb(dbPath: string): Database {\n const db = new Database(dbPath);\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA journal_mode=WAL\");\n db.run(\"PRAGMA synchronous=NORMAL\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n db.run(\"PRAGMA foreign_keys=ON\");\n ensureSchema(db);\n return db;\n }\n ```\n\n- **自动关闭封装**：不存在 `withReadDb` / `withWriteDb` 这样的通用包装。每个 query 函数手动调用 `openReadDb()` + `db.close()`（见 query.ts 第 34-41 行的 `findSessions` 范例），`getCurrentSessions` 用 try/finally 模式（query.ts 111-130）。\n\n- **数据读取函数**（都假设传入已打开的 db）：\n - `getSessionRecord(db, sessionUuid)` 行 299\n - `getMessagesForRange(db, sessionUuid, startSeq, endSeq)` 行 331\n - `getMessagesForPage(db, sessionUuid, offset, limit)` 行 353\n - `listSessions(db, query)` 行 376\n - `getStatsCounts(db)` 行 417\n - `getTopCwds(db, limit)` 行 444\n\n---\n\n### 2. CLI `current` 命令的错误处理\n\n**文件：/Users/envvar/work/repos/cxs/cli.ts**\n\n- **注册位置**：行 34-53\n ```typescript\n program\n .command(\"current\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n ```\n\n- **调用方式**：直接调用 `getCurrentSessions()`（行 47），无中间 try/catch，任何异常直接冒泡到 CLI runner（导致 stderr 输出）。\n\n- **--json 模式**：行 48-50，直接 `console.log(JSON.stringify(result, null, 2))`；没有结构化错误处理。\n\n- **参考模式**：`sync` 命令（行 62-95）有标准的 \"structured error in --json mode\" 模式 — catch `SyncError` 或 `SyncLockTimeoutError`，然后 JSON 输出 error 对象，设置 `process.exitCode = 1`。\n\n---\n\n### 3. 现有 sync lock 测试\n\n**文件：/Users/envvar/work/repos/cxs/indexer.test.ts**\n\n- **已有 lock 相关测试**：\n 1. `\"waits for an existing sync writer lock before opening the database\"` (行 62-86)\n - 用 `spawn + writeFileSync` 伪造 lock 文件，持有 350ms\n - 验证 sync 等待 lock 释放再继续（line 81）\n\n 2. `\"removes stale sync writer locks from dead pids before proceeding\"` (行 88-114)\n - 直接 `writeFileSync` 伪造 stale lock 文件，pid=999999（行 105-107）\n - 验证 sync 清理后继续（line 113 检查 lock 文件不存在）\n\n- **伪造方式**：手动 `writeFileSync` JSON 格式：`{ pid, createdAt }` (行 105-108)\n\n---\n\n### 4. 现有 mixed match 和 ranking 测试\n\n**文件：/Users/envvar/work/repos/cxs/query.test.ts**\n\n- **`matchSource: \"session\"` 相关测试**：\n 1. 行 250-298：`\"find can recall session title even when no message contains the query\"`\n - 直接 `openWriteDb + replaceSession` 插入 DB（无 sync）\n - 验证 `matchSource === \"session\"` 且 `matchSeq === null`\n\n 2. 行 300-360：`\"session-level fields have explicit ranking weights\"`\n - 对标 title / compact_text / summary_text / reasoning_summary_text 字段分别测 ranking\n - 数据组装：`openWriteDb + replaceSession` 直接插入\n\n 3. 行 362-390：`\"sync indexes compacted handoff text for session-level recall\"`\n - 用 `syncSessions` 真实 sync，验证 `matchSource === \"session\"`\n\n 4. 行 392-433：`\"session-level snippet prefers the window with denser query term coverage\"`\n - `openWriteDb + replaceSession` 直接插入\n - 验证 snippet 选择密集窗口\n\n- **同时含 message 和 session 命中对照**：未见明确的\"同 session 同时含两个 matchSource 的结果\"对照测试。\n\n---\n\n### 5. types.ts 相关类型定义\n\n**文件：/Users/envvar/work/repos/cxs/types.ts**\n\n| 类型 | 行号 | 关键字段 |\n|------|------|---------|\n| `MatchSource` | 2 | `\"message\" \\| \"session\"` |\n| `FindMatchRole` | 3 | `MessageRole \\| \"session\"` |\n| `FindResult` | 58-73 | `rank, sessionUuid, matchSource, matchSeq, matchRole, score, snippet` |\n| `CurrentSessionCandidate` | 95-101 | `sessionUuid, title, cwd, filePath, updatedAtMs` |\n| `SessionListEntry` | 85-93 | `sessionUuid, title, summaryText, cwd, startedAt, endedAt, messageCount` |"}]}]},"uuid":"2b3909a9-569c-4632-8094-deac554def63","timestamp":"2026-04-27T03:59:01.773Z","toolUseResult":{"status":"completed","prompt":"仓库根目录是 /Users/envvar/work/repos/cxs（一个 Bun + TypeScript 写的本地 Codex session 检索 CLI）。\n\n我正在为一个代码质量修复 PR 写实施计划。请帮我精确摸清以下几个点，方便我写 plan。请只读，不要改任何文件。\n\n## 1. DB 打开/关闭抽象\n\n打开 db.ts，找出：\n- `openReadDb(dbPath)` 的实现（它如何建立 `Database`、是否设置 busy timeout、是否设置 readonly 等）\n- 是否还有 `openWriteDb` / 类似的写入入口\n- 是否有现成的 `withReadDb` / `withDb` 这样自动 close 的封装可复用；如果有，写出函数签名和文件行号\n- `getSessionRecord`、`getMessagesForRange`、`getMessagesForPage`、`listSessions`、`getStatsCounts`、`getTopCwds` 是否假设传入的 db 是已开的\n\n请给出函数签名 + 行号。\n\n## 2. CLI `current` 命令的错误处理面\n\n打开 cli.ts，找到 `current` 子命令注册的位置，告诉我：\n- 它怎么调用 query 层的 `getCurrentSessions`\n- 调用结果怎么打印（plain text vs `--json`）\n- 调用 throw 时 CLI 怎么处理（是直接冒泡成 stderr？有没有 try/catch？）\n- 是否其他子命令有标准的 \"structured error in --json mode\" 模式可以参考\n\n把关键行号摘出来。\n\n## 3. 现有 sync lock 测试\n\n打开 indexer.test.ts，找出：\n- 已有的 lock 相关测试用例的 `test(...)` 名字\n- 是否已经在测 stale lock 清理\n- 它们是怎么伪造 stale lock 文件的（手动 writeFile？mock pid？）\n\n把每个相关测试的简短描述 + 行号给我，让我知道在哪种风格里加新测试。\n\n## 4. 现有 mixed match 测试与 ranking 测试\n\n打开 query.test.ts，找出：\n- 涉及 `matchSource: \"session\"` 的测试\n- 是否已经有 \"同 session 同时含 message 命中 + session 命中\" 的对照测试\n- 测试是怎么组装数据的（是直接调 `findSessions`？还是先 sync 真实文件？还是直接 insert 到 DB？）\n\n把相关 test 名字 + 行号 + 简短数据组装方式列出来。\n\n## 5. types.ts 中相关类型\n\n简短列出 `MatchSource`、`FindMatchRole`、`FindResult`、`CurrentSessionCandidate`、`SessionListEntry` 的定义（行号 + 一行关键字段）。\n\n## 输出格式\n\n按 1/2/3/4/5 分节，每节列证据（文件路径 + 行号 + 关键代码片段或函数签名）。不要给修改建议，只要事实。控制在 400 词以内。","agentId":"a8c86d5a4d4d9ed64","agentType":"Explore","content":[{"type":"text","text":"完美。现在我有了所有需要的信息。让我准备最终的报告。\n\n## 精确摸清报告\n\n### 1. DB 打开/关闭抽象\n\n**文件：/Users/envvar/work/repos/cxs/db.ts**\n\n- **`openReadDb(dbPath: string): Database`** (行 22-32)\n ```typescript\n export function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n }\n ```\n\n- **`openWriteDb(dbPath: string): Database`** (行 34-43)\n ```typescript\n export function openWriteDb(dbPath: string): Database {\n const db = new Database(dbPath);\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA journal_mode=WAL\");\n db.run(\"PRAGMA synchronous=NORMAL\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n db.run(\"PRAGMA foreign_keys=ON\");\n ensureSchema(db);\n return db;\n }\n ```\n\n- **自动关闭封装**：不存在 `withReadDb` / `withWriteDb` 这样的通用包装。每个 query 函数手动调用 `openReadDb()` + `db.close()`（见 query.ts 第 34-41 行的 `findSessions` 范例），`getCurrentSessions` 用 try/finally 模式（query.ts 111-130）。\n\n- **数据读取函数**（都假设传入已打开的 db）：\n - `getSessionRecord(db, sessionUuid)` 行 299\n - `getMessagesForRange(db, sessionUuid, startSeq, endSeq)` 行 331\n - `getMessagesForPage(db, sessionUuid, offset, limit)` 行 353\n - `listSessions(db, query)` 行 376\n - `getStatsCounts(db)` 行 417\n - `getTopCwds(db, limit)` 行 444\n\n---\n\n### 2. CLI `current` 命令的错误处理\n\n**文件：/Users/envvar/work/repos/cxs/cli.ts**\n\n- **注册位置**：行 34-53\n ```typescript\n program\n .command(\"current\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n ```\n\n- **调用方式**：直接调用 `getCurrentSessions()`（行 47），无中间 try/catch，任何异常直接冒泡到 CLI runner（导致 stderr 输出）。\n\n- **--json 模式**：行 48-50，直接 `console.log(JSON.stringify(result, null, 2))`；没有结构化错误处理。\n\n- **参考模式**：`sync` 命令（行 62-95）有标准的 \"structured error in --json mode\" 模式 — catch `SyncError` 或 `SyncLockTimeoutError`，然后 JSON 输出 error 对象，设置 `process.exitCode = 1`。\n\n---\n\n### 3. 现有 sync lock 测试\n\n**文件：/Users/envvar/work/repos/cxs/indexer.test.ts**\n\n- **已有 lock 相关测试**：\n 1. `\"waits for an existing sync writer lock before opening the database\"` (行 62-86)\n - 用 `spawn + writeFileSync` 伪造 lock 文件，持有 350ms\n - 验证 sync 等待 lock 释放再继续（line 81）\n\n 2. `\"removes stale sync writer locks from dead pids before proceeding\"` (行 88-114)\n - 直接 `writeFileSync` 伪造 stale lock 文件，pid=999999（行 105-107）\n - 验证 sync 清理后继续（line 113 检查 lock 文件不存在）\n\n- **伪造方式**：手动 `writeFileSync` JSON 格式：`{ pid, createdAt }` (行 105-108)\n\n---\n\n### 4. 现有 mixed match 和 ranking 测试\n\n**文件：/Users/envvar/work/repos/cxs/query.test.ts**\n\n- **`matchSource: \"session\"` 相关测试**：\n 1. 行 250-298：`\"find can recall session title even when no message contains the query\"`\n - 直接 `openWriteDb + replaceSession` 插入 DB（无 sync）\n - 验证 `matchSource === \"session\"` 且 `matchSeq === null`\n\n 2. 行 300-360：`\"session-level fields have explicit ranking weights\"`\n - 对标 title / compact_text / summary_text / reasoning_summary_text 字段分别测 ranking\n - 数据组装：`openWriteDb + replaceSession` 直接插入\n\n 3. 行 362-390：`\"sync indexes compacted handoff text for session-level recall\"`\n - 用 `syncSessions` 真实 sync，验证 `matchSource === \"session\"`\n\n 4. 行 392-433：`\"session-level snippet prefers the window with denser query term coverage\"`\n - `openWriteDb + replaceSession` 直接插入\n - 验证 snippet 选择密集窗口\n\n- **同时含 message 和 session 命中对照**：未见明确的\"同 session 同时含两个 matchSource 的结果\"对照测试。\n\n---\n\n### 5. types.ts 相关类型定义\n\n**文件：/Users/envvar/work/repos/cxs/types.ts**\n\n| 类型 | 行号 | 关键字段 |\n|------|------|---------|\n| `MatchSource` | 2 | `\"message\" \\| \"session\"` |\n| `FindMatchRole` | 3 | `MessageRole \\| \"session\"` |\n| `FindResult` | 58-73 | `rank, sessionUuid, matchSource, matchSeq, matchRole, score, snippet` |\n| `CurrentSessionCandidate` | 95-101 | `sessionUuid, title, cwd, filePath, updatedAtMs` |\n| `SessionListEntry` | 85-93 | `sessionUuid, title, summaryText, cwd, startedAt, endedAt, 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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3198,"cache_read_input_tokens":79746,"output_tokens":8357,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3198},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":8357,"cache_read_input_tokens":79746,"cache_creation_input_tokens":3198,"cache_creation":{"ephemeral_5m_input_tokens":3198,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"48b676ea-0dba-4b43-b468-24aef2411f82","timestamp":"2026-04-27T04:01:04.882Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 60 60 + {"parentUuid":"48b676ea-0dba-4b43-b468-24aef2411f82","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Tnhdgt3HZ9cw6XuK7mygNc","type":"message","role":"assistant","content":[{"type":"text","text":"范围、lock 修复方式、schema 防御深度都明确了。现在写最终 plan。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3198,"cache_read_input_tokens":79746,"output_tokens":8357,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3198},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":8357,"cache_read_input_tokens":79746,"cache_creation_input_tokens":3198,"cache_creation":{"ephemeral_5m_input_tokens":3198,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"0681cae1-638f-421e-9728-5b1001d721fb","timestamp":"2026-04-27T04:01:05.778Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 61 61 + {"parentUuid":"0681cae1-638f-421e-9728-5b1001d721fb","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Tnhdgt3HZ9cw6XuK7mygNc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013xrwVGEyKpwZssmzCbz1oJ","name":"Write","input":{"file_path":"/Users/envvar/.claude/plans/plan-magical-penguin.md","content":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 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/Users/envvar/.claude/plans/plan-magical-penguin.md"}]},"uuid":"3955ca3e-3404-46e4-b073-393c1460279f","timestamp":"2026-04-27T04:01:59.202Z","toolUseResult":{"type":"create","filePath":"/Users/envvar/.claude/plans/plan-magical-penguin.md","content":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"4c02ba65-1ea7-47e7-9042-c6fddfea408c","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 64 64 + {"type":"last-prompt","lastPrompt":"继续推进 先做一个 plan","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 65 65 + {"type":"permission-mode","permissionMode":"plan","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 66 66 + {"parentUuid":"3955ca3e-3404-46e4-b073-393c1460279f","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01CdkirVRapJ61AxXLBw5k6X","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JcqKgsnRKF2aATRWHacJqN","name":"ExitPlanMode","input":{"plan":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n","planFilePath":"/Users/envvar/.claude/plans/plan-magical-penguin.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8402,"cache_read_input_tokens":82944,"output_tokens":47,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":8402},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":47,"cache_read_input_tokens":82944,"cache_creation_input_tokens":8402,"cache_creation":{"ephemeral_5m_input_tokens":8402,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"f813b24e-38a4-43b9-9427-1b5c0110446b","timestamp":"2026-04-27T04:02:02.518Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 67 67 + {"parentUuid":"f813b24e-38a4-43b9-9427-1b5c0110446b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:ExitPlanMode","toolUseID":"toolu_01JcqKgsnRKF2aATRWHacJqN","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"acd688c8-96b0-46b4-b12f-55a8cb63d21c","timestamp":"2026-04-27T04:02:02.538Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 68 68 + {"parentUuid":"f813b24e-38a4-43b9-9427-1b5c0110446b","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has approved your plan. You can now start coding. Start with updating your todo list if applicable\n\nYour plan has been saved to: /Users/envvar/.claude/plans/plan-magical-penguin.md\nYou can refer back to it if needed during implementation.\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work.\n\n## Approved Plan:\n# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n","tool_use_id":"toolu_01JcqKgsnRKF2aATRWHacJqN"}]},"uuid":"c4c6fa24-10be-43a3-af94-c1f2f1e4dd51","timestamp":"2026-04-27T04:04:25.912Z","toolUseResult":{"plan":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] 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105 105 + {"parentUuid":"339d7e98-9517-4c06-9e04-87c99123a078","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01PjLMFKkEuq9wvCnHLc6EKJ","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"71c75051-fda4-4fea-9561-f5879a855f71","timestamp":"2026-04-27T04:04:53.143Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 106 106 + {"parentUuid":"339d7e98-9517-4c06-9e04-87c99123a078","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PjLMFKkEuq9wvCnHLc6EKJ","type":"tool_result","content":"1\t#!/usr/bin/env bun\n2\t\n3\timport { existsSync } from \"node:fs\";\n4\timport { Command } from \"commander\";\n5\timport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\n6\timport {\n7\t printCurrentSessions,\n8\t printFindResults,\n9\t printReadPage,\n10\t printReadRangeResult,\n11\t printSessionList,\n12\t printStats,\n13\t printSyncSummary,\n14\t} from \"./format\";\n15\timport { SyncError, syncSessions } from \"./indexer\";\n16\timport {\n17\t collectStats,\n18\t findSessions,\n19\t getCurrentSessions,\n20\t getMessagePage,\n21\t getMessageRange,\n22\t listSessionSummaries,\n23\t} from \"./query\";\n24\timport { SyncLockTimeoutError } from \"./sync-lock\";\n25\timport type { SessionListSort } from \"./types\";\n26\t\n27\tconst program = new Command();\n28\t\n29\tprogram\n30\t .name(\"cxs\")\n31\t .description(\"Codex sessions 渐进式检索 CLI\")\n32\t .version(\"0.1.0\");\n33\t\n34\tprogram\n35\t .command(\"current\")\n36\t .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n37\t .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n38\t .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n39\t .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n40\t .option(\"--json\", \"输出 JSON\")\n41\t .action((options) => {\n42\t const cwd = options.cwd ?? process.cwd();\n43\t if (!existsSync(options.stateDb)) {\n44\t throw new Error(`state db not found: ${options.stateDb}`);\n45\t }\n46\t\n47\t const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n48\t if (options.json) {\n49\t console.log(JSON.stringify(result, null, 2));\n50\t return;\n51\t }\n52\t printCurrentSessions(result.cwd, result.candidates);\n53\t });\n54\t\n55\tprogram\n56\t .command(\"sync\")\n57\t .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n58\t .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n59\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n60\t .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n61\t .option(\"--json\", \"输出 JSON\")\n62\t .action(async (options) => {\n63\t try {\n64\t const summary = await syncSessions({\n65\t dbPath: options.db,\n66\t rootDir: resolveCodexDir(options.root),\n67\t bestEffort: options.bestEffort,\n68\t });\n69\t if (options.json) {\n70\t console.log(JSON.stringify(summary, null, 2));\n71\t return;\n72\t }\n73\t printSyncSummary(summary);\n74\t } catch (error) {\n75\t if (error instanceof SyncError) {\n76\t if (options.json) {\n77\t console.error(JSON.stringify(error.summary, null, 2));\n78\t } else {\n79\t printSyncSummary(error.summary);\n80\t }\n81\t process.exitCode = 1;\n82\t return;\n83\t }\n84\t if (error instanceof SyncLockTimeoutError) {\n85\t if (options.json) {\n86\t console.error(JSON.stringify({ error: error.message }, null, 2));\n87\t } else {\n88\t console.error(error.message);\n89\t }\n90\t process.exitCode = 1;\n91\t return;\n92\t }\n93\t throw error;\n94\t }\n95\t });\n96\t\n97\tprogram\n98\t .command(\"find <query>\")\n99\t .description(\"搜索相关 session，返回最小必要命中\")\n100\t .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n101\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n102\t .option(\"--json\", \"输出 JSON\")\n103\t .action((query, options) => {\n104\t const limit = parsePositiveInt(options.limit, 10);\n105\t const result = findSessions(options.db, query, limit);\n106\t if (options.json) {\n107\t console.log(JSON.stringify(result, null, 2));\n108\t return;\n109\t }\n110\t printFindResults(result.query, result.results);\n111\t });\n112\t\n113\tprogram\n114\t .command(\"read-range <sessionUuid>\")\n115\t .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n116\t .option(\"--seq <n>\", \"显式指定锚点 seq\")\n117\t .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n118\t .option(\"--before <n>\", \"前文条数\", \"2\")\n119\t .option(\"--after <n>\", \"后文条数\", \"2\")\n120\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n121\t .option(\"--json\", \"输出 JSON\")\n122\t .action((sessionUuid, options) => {\n123\t const result = getMessageRange(options.db, sessionUuid, {\n124\t seq: optionalInt(options.seq),\n125\t query: options.query,\n126\t before: parsePositiveInt(options.before, 2),\n127\t after: parsePositiveInt(options.after, 2),\n128\t });\n129\t if (options.json) {\n130\t console.log(JSON.stringify(result, null, 2));\n131\t return;\n132\t }\n133\t printReadRangeResult(\n134\t result.session,\n135\t result.anchorSeq,\n136\t result.messages,\n137\t result.rangeStartSeq,\n138\t result.rangeEndSeq,\n139\t );\n140\t });\n141\t\n142\tprogram\n143\t .command(\"read-page <sessionUuid>\")\n144\t .description(\"顺序分页读取某个 session 的消息\")\n145\t .option(\"--offset <n>\", \"起始 offset\", \"0\")\n146\t .option(\"--limit <n>\", \"页大小\", \"20\")\n147\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n148\t .option(\"--json\", \"输出 JSON\")\n149\t .action((sessionUuid, options) => {\n150\t const result = getMessagePage(\n151\t options.db,\n152\t sessionUuid,\n153\t parseNonNegativeInt(options.offset, 0),\n154\t parsePositiveInt(options.limit, 20),\n155\t );\n156\t if (options.json) {\n157\t console.log(JSON.stringify(result, null, 2));\n158\t return;\n159\t }\n160\t printReadPage(\n161\t result.session,\n162\t result.offset,\n163\t result.limit,\n164\t result.totalCount,\n165\t result.hasMore,\n166\t result.messages,\n167\t );\n168\t });\n169\t\n170\tprogram\n171\t .command(\"list\")\n172\t .description(\"列出已索引的 session（不做全文检索）\")\n173\t .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n174\t .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n175\t .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n176\t .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n177\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n178\t .option(\"--json\", \"输出 JSON\")\n179\t .action((options) => {\n180\t const sort = normalizeListSort(options.sort);\n181\t const result = listSessionSummaries(options.db, {\n182\t cwd: options.cwd,\n183\t since: options.since,\n184\t sort,\n185\t limit: parsePositiveInt(options.limit, 20),\n186\t });\n187\t if (options.json) {\n188\t console.log(JSON.stringify(result, null, 2));\n189\t return;\n190\t }\n191\t printSessionList(result.results);\n192\t });\n193\t\n194\tprogram\n195\t .command(\"stats\")\n196\t .description(\"展示索引状态统计\")\n197\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n198\t .option(\"--json\", \"输出 JSON\")\n199\t .action((options) => {\n200\t const summary = collectStats(options.db);\n201\t if (options.json) {\n202\t console.log(JSON.stringify(summary, null, 2));\n203\t return;\n204\t }\n205\t printStats(summary);\n206\t });\n207\t\n208\tprogram.parse();\n209\t\n210\tfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n211\t const parsed = Number.parseInt(value ?? \"\", 10);\n212\t return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n213\t}\n214\t\n215\tfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n216\t const parsed = Number.parseInt(value ?? \"\", 10);\n217\t return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n218\t}\n219\t\n220\tfunction optionalInt(value: string | undefined): number | undefined {\n221\t const parsed = Number.parseInt(value ?? \"\", 10);\n222\t return Number.isFinite(parsed) ? parsed : undefined;\n223\t}\n224\t\n225\tfunction normalizeListSort(value: string | undefined): SessionListSort {\n226\t if (value === \"started\" || value === \"messages\") return value;\n227\t return \"ended\";\n228\t}\n229\t"}]},"uuid":"1f6e6ad3-a3b5-4029-bd02-e7b2cc64bf64","timestamp":"2026-04-27T04:04:53.145Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","content":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n","numLines":229,"startLine":1,"totalLines":229}},"sourceToolAssistantUUID":"339d7e98-9517-4c06-9e04-87c99123a078","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 107 107 + {"parentUuid":"1f6e6ad3-a3b5-4029-bd02-e7b2cc64bf64","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01VDKvpAYpUmrGQUuMSpipsW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EHVvvqKYq1mh6muEF4dguj","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/db.ts"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4263,"cache_read_input_tokens":91346,"output_tokens":2436,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4263},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":2436,"cache_read_input_tokens":91346,"cache_creation_input_tokens":4263,"cache_creation":{"ephemeral_5m_input_tokens":4263,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"380b2c55-266a-4df1-964e-ca4238a1ed58","timestamp":"2026-04-27T04:04:53.279Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 108 108 + {"parentUuid":"380b2c55-266a-4df1-964e-ca4238a1ed58","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01EHVvvqKYq1mh6muEF4dguj","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"e937b856-7be4-475b-aaa4-a6eaf1b9624b","timestamp":"2026-04-27T04:04:53.285Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 109 109 + {"parentUuid":"380b2c55-266a-4df1-964e-ca4238a1ed58","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EHVvvqKYq1mh6muEF4dguj","type":"tool_result","content":"1\timport { existsSync } from \"node:fs\";\n2\timport { Database } from \"bun:sqlite\";\n3\timport type { SQLQueryBindings } from \"bun:sqlite\";\n4\timport { tokenizedText } from \"./tokenize\";\n5\timport type {\n6\t CwdCount,\n7\t MessageRecord,\n8\t ParsedSession,\n9\t SessionListEntry,\n10\t SessionListQuery,\n11\t SessionRecord,\n12\t} from \"./types\";\n13\t\n14\tconst CUSTOM_SQLITE = \"/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib\";\n15\tconst BUSY_TIMEOUT_MS = 5000;\n16\ttype SqlParams = SQLQueryBindings[];\n17\t\n18\tif (existsSync(CUSTOM_SQLITE)) {\n19\t Database.setCustomSQLite(CUSTOM_SQLITE);\n20\t}\n21\t\n22\texport function openReadDb(dbPath: string): Database {\n23\t if (!existsSync(dbPath)) {\n24\t throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n25\t }\n26\t\n27\t const db = new Database(dbPath, { readonly: true });\n28\t db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n29\t db.run(\"PRAGMA query_only=ON\");\n30\t db.run(\"PRAGMA temp_store=MEMORY\");\n31\t return db;\n32\t}\n33\t\n34\texport function openWriteDb(dbPath: string): Database {\n35\t const db = new Database(dbPath);\n36\t db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n37\t db.run(\"PRAGMA journal_mode=WAL\");\n38\t db.run(\"PRAGMA synchronous=NORMAL\");\n39\t db.run(\"PRAGMA temp_store=MEMORY\");\n40\t db.run(\"PRAGMA foreign_keys=ON\");\n41\t ensureSchema(db);\n42\t return db;\n43\t}\n44\t\n45\tfunction ensureSchema(db: Database): void {\n46\t db.run(`\n47\t CREATE TABLE IF NOT EXISTS sessions (\n48\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n49\t session_uuid TEXT NOT NULL UNIQUE,\n50\t file_path TEXT NOT NULL UNIQUE,\n51\t title TEXT NOT NULL DEFAULT '',\n52\t summary_text TEXT NOT NULL DEFAULT '',\n53\t compact_text TEXT NOT NULL DEFAULT '',\n54\t reasoning_summary_text TEXT NOT NULL DEFAULT '',\n55\t cwd TEXT NOT NULL DEFAULT '',\n56\t model TEXT NOT NULL DEFAULT '',\n57\t started_at TEXT NOT NULL,\n58\t ended_at TEXT NOT NULL,\n59\t message_count INTEGER NOT NULL DEFAULT 0,\n60\t raw_file_mtime INTEGER NOT NULL DEFAULT 0,\n61\t raw_file_size INTEGER NOT NULL DEFAULT 0,\n62\t index_version TEXT NOT NULL DEFAULT '',\n63\t updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP\n64\t )\n65\t `);\n66\t\n67\t ensureTextColumn(db, \"sessions\", \"summary_text\");\n68\t ensureTextColumn(db, \"sessions\", \"compact_text\");\n69\t ensureTextColumn(db, \"sessions\", \"reasoning_summary_text\");\n70\t\n71\t db.run(`\n72\t CREATE TABLE IF NOT EXISTS messages (\n73\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n74\t session_id INTEGER NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n75\t session_uuid TEXT NOT NULL,\n76\t seq INTEGER NOT NULL,\n77\t role TEXT NOT NULL,\n78\t content_text TEXT NOT NULL,\n79\t timestamp TEXT NOT NULL,\n80\t source_kind TEXT NOT NULL,\n81\t UNIQUE(session_uuid, seq)\n82\t )\n83\t `);\n84\t\n85\t db.run(\"CREATE INDEX IF NOT EXISTS idx_messages_session_seq ON messages(session_uuid, seq)\");\n86\t db.run(\"CREATE INDEX IF NOT EXISTS idx_sessions_started_at ON sessions(started_at DESC)\");\n87\t\n88\t db.run(`\n89\t CREATE VIRTUAL TABLE IF NOT EXISTS messages_fts USING fts5(\n90\t content_text,\n91\t session_uuid UNINDEXED,\n92\t seq UNINDEXED,\n93\t role UNINDEXED,\n94\t timestamp UNINDEXED,\n95\t tokenize='unicode61 remove_diacritics 1'\n96\t )\n97\t `);\n98\t\n99\t ensureSessionsFtsTable(db);\n100\t\n101\t dropLegacyTrigramTable(db);\n102\t}\n103\t\n104\tfunction dropLegacyTrigramTable(db: Database): void {\n105\t // cxs <= v2 shipped a second FTS5 virtual table for CJK trigram search.\n106\t // The hybrid bigram+Segmenter tokenizer in tokenize.ts replaces it, so\n107\t // drop the old table and its shadow rows if they still exist.\n108\t db.run(\"DROP TABLE IF EXISTS messages_fts_trigram\");\n109\t}\n110\t\n111\tfunction ensureSessionsFtsTable(db: Database): void {\n112\t const existing = db\n113\t .query(\"SELECT 1 FROM sqlite_master WHERE name = 'sessions_fts' LIMIT 1\")\n114\t .get();\n115\t\n116\t if (existing) {\n117\t const columns = db\n118\t .query(\"PRAGMA table_info(sessions_fts)\")\n119\t .all() as Array<{ name: string }>;\n120\t const names = new Set(columns.map((column) => column.name));\n121\t if (!names.has(\"compact_text\") || !names.has(\"reasoning_summary_text\")) {\n122\t db.run(\"DROP TABLE sessions_fts\");\n123\t }\n124\t }\n125\t\n126\t db.run(`\n127\t CREATE VIRTUAL TABLE IF NOT EXISTS sessions_fts USING fts5(\n128\t title,\n129\t summary_text,\n130\t compact_text,\n131\t reasoning_summary_text,\n132\t session_uuid UNINDEXED,\n133\t tokenize='unicode61 remove_diacritics 1'\n134\t )\n135\t `);\n136\t}\n137\t\n138\texport function getIndexedSessionMeta(\n139\t db: Database,\n140\t filePath: string,\n141\t): { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null {\n142\t const row = db\n143\t .query<{ rawFileMtime: number; rawFileSize: number; indexVersion: string }, [string]>(`\n144\t SELECT raw_file_mtime AS rawFileMtime, raw_file_size AS rawFileSize, index_version AS indexVersion\n145\t FROM sessions\n146\t WHERE file_path = ?\n147\t LIMIT 1\n148\t `)\n149\t .get(filePath) as\n150\t | { rawFileMtime: number; rawFileSize: number; indexVersion: string }\n151\t | null;\n152\t\n153\t return row ?? null;\n154\t}\n155\t\n156\texport function deleteSessionByFilePath(db: Database, filePath: string): void {\n157\t const row = db\n158\t .query<{ sessionUuid: string }, [string]>(\"SELECT session_uuid AS sessionUuid FROM sessions WHERE file_path = ? LIMIT 1\")\n159\t .get(filePath) as { sessionUuid: string } | null;\n160\t\n161\t if (!row) return;\n162\t deleteSessionByUuid(db, row.sessionUuid);\n163\t}\n164\t\n165\tfunction deleteSessionByUuid(db: Database, sessionUuid: string): void {\n166\t db.run(\"DELETE FROM sessions_fts WHERE session_uuid = ?\", [sessionUuid]);\n167\t db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [sessionUuid]);\n168\t db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [sessionUuid]);\n169\t db.run(\"DELETE FROM sessions WHERE session_uuid = ?\", [sessionUuid]);\n170\t}\n171\t\n172\texport function replaceSession(\n173\t db: Database,\n174\t session: ParsedSession,\n175\t rawFileMtime: number,\n176\t rawFileSize: number,\n177\t indexVersion: string,\n178\t): void {\n179\t const tx = db.transaction(() => {\n180\t const existing = db\n181\t .query<{ id: number }, [string, string]>(\"SELECT id FROM sessions WHERE session_uuid = ? OR file_path = ? LIMIT 1\")\n182\t .get(session.sessionUuid, session.filePath) as { id: number } | null;\n183\t\n184\t if (existing) {\n185\t db.run(\n186\t `\n187\t UPDATE sessions\n188\t SET session_uuid = ?, file_path = ?, title = ?, summary_text = ?, compact_text = ?, reasoning_summary_text = ?,\n189\t cwd = ?, model = ?, started_at = ?, ended_at = ?,\n190\t message_count = ?, raw_file_mtime = ?, raw_file_size = ?, index_version = ?, updated_at = CURRENT_TIMESTAMP\n191\t WHERE id = ?\n192\t `,\n193\t [\n194\t session.sessionUuid,\n195\t session.filePath,\n196\t session.title,\n197\t session.summaryText,\n198\t session.compactText ?? \"\",\n199\t session.reasoningSummaryText ?? \"\",\n200\t session.cwd,\n201\t session.model,\n202\t session.startedAt,\n203\t session.endedAt,\n204\t session.messages.length,\n205\t rawFileMtime,\n206\t rawFileSize,\n207\t indexVersion,\n208\t existing.id,\n209\t ],\n210\t );\n211\t } else {\n212\t db.run(\n213\t `\n214\t INSERT INTO sessions (\n215\t session_uuid, file_path, title, summary_text, compact_text, reasoning_summary_text,\n216\t cwd, model, started_at, ended_at,\n217\t message_count, raw_file_mtime, raw_file_size, index_version\n218\t ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n219\t `,\n220\t [\n221\t session.sessionUuid,\n222\t session.filePath,\n223\t session.title,\n224\t session.summaryText,\n225\t session.compactText ?? \"\",\n226\t session.reasoningSummaryText ?? \"\",\n227\t session.cwd,\n228\t session.model,\n229\t session.startedAt,\n230\t session.endedAt,\n231\t session.messages.length,\n232\t rawFileMtime,\n233\t rawFileSize,\n234\t indexVersion,\n235\t ],\n236\t );\n237\t }\n238\t\n239\t const sessionRow = db\n240\t .query<{ id: number }, [string]>(\"SELECT id FROM sessions WHERE session_uuid = ? LIMIT 1\")\n241\t .get(session.sessionUuid) as { id: number };\n242\t\n243\t db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [session.sessionUuid]);\n244\t db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [session.sessionUuid]);\n245\t db.run(\"DELETE FROM sessions_fts WHERE rowid = ? OR session_uuid = ?\", [sessionRow.id, session.sessionUuid]);\n246\t\n247\t db.run(\n248\t `\n249\t INSERT INTO sessions_fts(rowid, title, summary_text, compact_text, reasoning_summary_text, session_uuid)\n250\t VALUES (?, ?, ?, ?, ?, ?)\n251\t `,\n252\t [\n253\t sessionRow.id,\n254\t tokenizedText(session.title),\n255\t tokenizedText(session.summaryText),\n256\t tokenizedText(session.compactText ?? \"\"),\n257\t tokenizedText(session.reasoningSummaryText ?? \"\"),\n258\t session.sessionUuid,\n259\t ],\n260\t );\n261\t\n262\t const messageStmt = db.prepare<unknown, [number, string, number, string, string, string, string]>(`\n263\t INSERT INTO messages (session_id, session_uuid, seq, role, content_text, timestamp, source_kind)\n264\t VALUES (?, ?, ?, ?, ?, ?, ?)\n265\t `);\n266\t const ftsStmt = db.prepare<unknown, [number, string, string, number, string, string]>(`\n267\t INSERT INTO messages_fts(rowid, content_text, session_uuid, seq, role, timestamp)\n268\t VALUES (?, ?, ?, ?, ?, ?)\n269\t `);\n270\t\n271\t for (const message of session.messages) {\n272\t const result = messageStmt.run(\n273\t sessionRow.id,\n274\t session.sessionUuid,\n275\t message.seq,\n276\t message.role,\n277\t message.contentText,\n278\t message.timestamp,\n279\t message.sourceKind,\n280\t );\n281\t const messageId = Number(result.lastInsertRowid);\n282\t // Feed the FTS index with tokenized text so that CJK runs are split\n283\t // into bigrams by tokenize(). Stored content in messages.content_text\n284\t // stays raw for display.\n285\t ftsStmt.run(\n286\t messageId,\n287\t tokenizedText(message.contentText),\n288\t session.sessionUuid,\n289\t message.seq,\n290\t message.role,\n291\t message.timestamp,\n292\t );\n293\t }\n294\t });\n295\t\n296\t tx();\n297\t}\n298\t\n299\texport function getSessionRecord(db: Database, sessionUuid: string): SessionRecord | null {\n300\t const row = db\n301\t .query<SessionRecord & { filePath: string }, [string]>(`\n302\t SELECT\n303\t session_uuid AS sessionUuid,\n304\t file_path AS filePath,\n305\t title,\n306\t summary_text AS summaryText,\n307\t cwd,\n308\t model,\n309\t started_at AS startedAt,\n310\t ended_at AS endedAt,\n311\t message_count AS messageCount\n312\t FROM sessions\n313\t WHERE session_uuid = ?\n314\t LIMIT 1\n315\t `)\n316\t .get(sessionUuid) as (SessionRecord & { filePath: string }) | null;\n317\t\n318\t if (!row) return null;\n319\t return row;\n320\t}\n321\t\n322\tfunction ensureTextColumn(db: Database, tableName: string, columnName: string): void {\n323\t const columns = db\n324\t .query(`PRAGMA table_info(${tableName})`)\n325\t .all() as Array<{ name?: string }>;\n326\t\n327\t if (columns.some((column) => column.name === columnName)) return;\n328\t db.run(`ALTER TABLE ${tableName} ADD COLUMN ${columnName} TEXT NOT NULL DEFAULT ''`);\n329\t}\n330\t\n331\texport function getMessagesForRange(\n332\t db: Database,\n333\t sessionUuid: string,\n334\t startSeq: number,\n335\t endSeq: number,\n336\t): MessageRecord[] {\n337\t return db\n338\t .query<MessageRecord, [string, number, number]>(`\n339\t SELECT\n340\t session_uuid AS sessionUuid,\n341\t seq,\n342\t role,\n343\t content_text AS contentText,\n344\t timestamp,\n345\t source_kind AS sourceKind\n346\t FROM messages\n347\t WHERE session_uuid = ? AND seq BETWEEN ? AND ?\n348\t ORDER BY seq\n349\t `)\n350\t .all(sessionUuid, startSeq, endSeq) as MessageRecord[];\n351\t}\n352\t\n353\texport function getMessagesForPage(\n354\t db: Database,\n355\t sessionUuid: string,\n356\t offset: number,\n357\t limit: number,\n358\t): MessageRecord[] {\n359\t return db\n360\t .query<MessageRecord, [string, number, number]>(`\n361\t SELECT\n362\t session_uuid AS sessionUuid,\n363\t seq,\n364\t role,\n365\t content_text AS contentText,\n366\t timestamp,\n367\t source_kind AS sourceKind\n368\t FROM messages\n369\t WHERE session_uuid = ?\n370\t ORDER BY seq\n371\t LIMIT ? OFFSET ?\n372\t `)\n373\t .all(sessionUuid, limit, offset) as MessageRecord[];\n374\t}\n375\t\n376\texport function listSessions(db: Database, query: SessionListQuery): SessionListEntry[] {\n377\t const conditions: string[] = [];\n378\t const params: SqlParams = [];\n379\t if (query.cwd) {\n380\t // Substring match rather than prefix/equality: agent callers often pass\n381\t // the trailing segment of a project path, not the full canonical path.\n382\t conditions.push(\"lower(cwd) LIKE ? ESCAPE '\\\\'\");\n383\t params.push(`%${escapeLike(query.cwd.toLowerCase())}%`);\n384\t }\n385\t if (query.since) {\n386\t conditions.push(\"ended_at >= ?\");\n387\t params.push(query.since);\n388\t }\n389\t const where = conditions.length > 0 ? `WHERE ${conditions.join(\" AND \")}` : \"\";\n390\t\n391\t const orderColumn = query.sort === \"started\"\n392\t ? \"started_at\"\n393\t : query.sort === \"messages\"\n394\t ? \"message_count\"\n395\t : \"ended_at\";\n396\t\n397\t params.push(query.limit);\n398\t\n399\t return db\n400\t .query<SessionListEntry, typeof params>(`\n401\t SELECT\n402\t session_uuid AS sessionUuid,\n403\t title,\n404\t summary_text AS summaryText,\n405\t cwd,\n406\t started_at AS startedAt,\n407\t ended_at AS endedAt,\n408\t message_count AS messageCount\n409\t FROM sessions\n410\t ${where}\n411\t ORDER BY ${orderColumn} DESC\n412\t LIMIT ?\n413\t `)\n414\t .all(...params) as SessionListEntry[];\n415\t}\n416\t\n417\texport function getStatsCounts(db: Database): {\n418\t sessionCount: number;\n419\t messageCount: number;\n420\t earliestStartedAt: string | null;\n421\t latestEndedAt: string | null;\n422\t lastSyncAt: string | null;\n423\t} {\n424\t const row = db\n425\t .query(`\n426\t SELECT\n427\t COUNT(*) AS sessionCount,\n428\t COALESCE(SUM(message_count), 0) AS messageCount,\n429\t MIN(started_at) AS earliestStartedAt,\n430\t MAX(ended_at) AS latestEndedAt,\n431\t MAX(updated_at) AS lastSyncAt\n432\t FROM sessions\n433\t `)\n434\t .get() as {\n435\t sessionCount: number;\n436\t messageCount: number;\n437\t earliestStartedAt: string | null;\n438\t latestEndedAt: string | null;\n439\t lastSyncAt: string | null;\n440\t };\n441\t return row;\n442\t}\n443\t\n444\texport function getTopCwds(db: Database, limit: number): CwdCount[] {\n445\t return db\n446\t .query<CwdCount, [number]>(`\n447\t SELECT cwd, COUNT(*) AS count\n448\t FROM sessions\n449\t WHERE cwd != ''\n450\t GROUP BY cwd\n451\t ORDER BY count DESC, cwd ASC\n452\t LIMIT ?\n453\t `)\n454\t .all(limit) as CwdCount[];\n455\t}\n456\t\n457\tfunction escapeLike(value: string): string {\n458\t return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n459\t}\n460\t"}]},"uuid":"6cebb1bc-eebe-4317-b5fc-606239baa8a1","timestamp":"2026-04-27T04:04:53.286Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/db.ts","content":"import { existsSync } from \"node:fs\";\nimport { Database } from \"bun:sqlite\";\nimport type { SQLQueryBindings } from \"bun:sqlite\";\nimport { tokenizedText } from \"./tokenize\";\nimport type {\n CwdCount,\n MessageRecord,\n ParsedSession,\n SessionListEntry,\n SessionListQuery,\n SessionRecord,\n} from \"./types\";\n\nconst CUSTOM_SQLITE = \"/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib\";\nconst BUSY_TIMEOUT_MS = 5000;\ntype SqlParams = SQLQueryBindings[];\n\nif (existsSync(CUSTOM_SQLITE)) {\n Database.setCustomSQLite(CUSTOM_SQLITE);\n}\n\nexport function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n}\n\nexport function openWriteDb(dbPath: string): Database {\n const db = new Database(dbPath);\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n db.run(\"PRAGMA journal_mode=WAL\");\n db.run(\"PRAGMA synchronous=NORMAL\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n db.run(\"PRAGMA foreign_keys=ON\");\n ensureSchema(db);\n return db;\n}\n\nfunction ensureSchema(db: Database): void {\n db.run(`\n CREATE TABLE IF NOT EXISTS sessions (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_uuid TEXT NOT NULL UNIQUE,\n file_path TEXT NOT NULL UNIQUE,\n title TEXT NOT NULL DEFAULT '',\n summary_text TEXT NOT NULL DEFAULT '',\n compact_text TEXT NOT NULL DEFAULT '',\n reasoning_summary_text TEXT NOT NULL DEFAULT '',\n cwd TEXT NOT NULL DEFAULT '',\n model TEXT NOT NULL DEFAULT '',\n started_at TEXT NOT NULL,\n ended_at TEXT NOT NULL,\n message_count INTEGER NOT NULL DEFAULT 0,\n raw_file_mtime INTEGER NOT NULL DEFAULT 0,\n raw_file_size INTEGER NOT NULL DEFAULT 0,\n index_version TEXT NOT NULL DEFAULT '',\n updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n ensureTextColumn(db, \"sessions\", \"summary_text\");\n ensureTextColumn(db, \"sessions\", \"compact_text\");\n ensureTextColumn(db, \"sessions\", \"reasoning_summary_text\");\n\n db.run(`\n CREATE TABLE IF NOT EXISTS messages (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_id INTEGER NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n session_uuid TEXT NOT NULL,\n seq INTEGER NOT NULL,\n role TEXT NOT NULL,\n content_text TEXT NOT NULL,\n timestamp TEXT NOT NULL,\n source_kind TEXT NOT NULL,\n UNIQUE(session_uuid, seq)\n )\n `);\n\n db.run(\"CREATE INDEX IF NOT EXISTS idx_messages_session_seq ON messages(session_uuid, seq)\");\n db.run(\"CREATE INDEX IF NOT EXISTS idx_sessions_started_at ON sessions(started_at DESC)\");\n\n db.run(`\n CREATE VIRTUAL TABLE IF NOT EXISTS messages_fts USING fts5(\n content_text,\n session_uuid UNINDEXED,\n seq UNINDEXED,\n role UNINDEXED,\n timestamp UNINDEXED,\n tokenize='unicode61 remove_diacritics 1'\n )\n `);\n\n ensureSessionsFtsTable(db);\n\n dropLegacyTrigramTable(db);\n}\n\nfunction dropLegacyTrigramTable(db: Database): void {\n // cxs <= v2 shipped a second FTS5 virtual table for CJK trigram search.\n // The hybrid bigram+Segmenter tokenizer in tokenize.ts replaces it, so\n // drop the old table and its shadow rows if they still exist.\n db.run(\"DROP TABLE IF EXISTS messages_fts_trigram\");\n}\n\nfunction ensureSessionsFtsTable(db: Database): void {\n const existing = db\n .query(\"SELECT 1 FROM sqlite_master WHERE name = 'sessions_fts' LIMIT 1\")\n .get();\n\n if (existing) {\n const columns = db\n .query(\"PRAGMA table_info(sessions_fts)\")\n .all() as Array<{ name: string }>;\n const names = new Set(columns.map((column) => column.name));\n if (!names.has(\"compact_text\") || !names.has(\"reasoning_summary_text\")) {\n db.run(\"DROP TABLE sessions_fts\");\n }\n }\n\n db.run(`\n CREATE VIRTUAL TABLE IF NOT EXISTS sessions_fts USING fts5(\n title,\n summary_text,\n compact_text,\n reasoning_summary_text,\n session_uuid UNINDEXED,\n tokenize='unicode61 remove_diacritics 1'\n )\n `);\n}\n\nexport function getIndexedSessionMeta(\n db: Database,\n filePath: string,\n): { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null {\n const row = db\n .query<{ rawFileMtime: number; rawFileSize: number; indexVersion: string }, [string]>(`\n SELECT raw_file_mtime AS rawFileMtime, raw_file_size AS rawFileSize, index_version AS indexVersion\n FROM sessions\n WHERE file_path = ?\n LIMIT 1\n `)\n .get(filePath) as\n | { rawFileMtime: number; rawFileSize: number; indexVersion: string }\n | null;\n\n return row ?? null;\n}\n\nexport function deleteSessionByFilePath(db: Database, filePath: string): void {\n const row = db\n .query<{ sessionUuid: string }, [string]>(\"SELECT session_uuid AS sessionUuid FROM sessions WHERE file_path = ? LIMIT 1\")\n .get(filePath) as { sessionUuid: string } | null;\n\n if (!row) return;\n deleteSessionByUuid(db, row.sessionUuid);\n}\n\nfunction deleteSessionByUuid(db: Database, sessionUuid: string): void {\n db.run(\"DELETE FROM sessions_fts WHERE session_uuid = ?\", [sessionUuid]);\n db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [sessionUuid]);\n db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [sessionUuid]);\n db.run(\"DELETE FROM sessions WHERE session_uuid = ?\", [sessionUuid]);\n}\n\nexport function replaceSession(\n db: Database,\n session: ParsedSession,\n rawFileMtime: number,\n rawFileSize: number,\n indexVersion: string,\n): void {\n const tx = db.transaction(() => {\n const existing = db\n .query<{ id: number }, [string, string]>(\"SELECT id FROM sessions WHERE session_uuid = ? OR file_path = ? LIMIT 1\")\n .get(session.sessionUuid, session.filePath) as { id: number } | null;\n\n if (existing) {\n db.run(\n `\n UPDATE sessions\n SET session_uuid = ?, file_path = ?, title = ?, summary_text = ?, compact_text = ?, reasoning_summary_text = ?,\n cwd = ?, model = ?, started_at = ?, ended_at = ?,\n message_count = ?, raw_file_mtime = ?, raw_file_size = ?, index_version = ?, updated_at = CURRENT_TIMESTAMP\n WHERE id = ?\n `,\n [\n session.sessionUuid,\n session.filePath,\n session.title,\n session.summaryText,\n session.compactText ?? \"\",\n session.reasoningSummaryText ?? \"\",\n session.cwd,\n session.model,\n session.startedAt,\n session.endedAt,\n session.messages.length,\n rawFileMtime,\n rawFileSize,\n indexVersion,\n existing.id,\n ],\n );\n } else {\n db.run(\n `\n INSERT INTO sessions (\n session_uuid, file_path, title, summary_text, compact_text, reasoning_summary_text,\n cwd, model, started_at, ended_at,\n message_count, raw_file_mtime, raw_file_size, index_version\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n `,\n [\n session.sessionUuid,\n session.filePath,\n session.title,\n session.summaryText,\n session.compactText ?? \"\",\n session.reasoningSummaryText ?? \"\",\n session.cwd,\n session.model,\n session.startedAt,\n session.endedAt,\n session.messages.length,\n rawFileMtime,\n rawFileSize,\n indexVersion,\n ],\n );\n }\n\n const sessionRow = db\n .query<{ id: number }, [string]>(\"SELECT id FROM sessions WHERE session_uuid = ? LIMIT 1\")\n .get(session.sessionUuid) as { id: number };\n\n db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [session.sessionUuid]);\n db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [session.sessionUuid]);\n db.run(\"DELETE FROM sessions_fts WHERE rowid = ? OR session_uuid = ?\", [sessionRow.id, session.sessionUuid]);\n\n db.run(\n `\n INSERT INTO sessions_fts(rowid, title, summary_text, compact_text, reasoning_summary_text, session_uuid)\n VALUES (?, ?, ?, ?, ?, ?)\n `,\n [\n sessionRow.id,\n tokenizedText(session.title),\n tokenizedText(session.summaryText),\n tokenizedText(session.compactText ?? \"\"),\n tokenizedText(session.reasoningSummaryText ?? \"\"),\n session.sessionUuid,\n ],\n );\n\n const messageStmt = db.prepare<unknown, [number, string, number, string, string, string, string]>(`\n INSERT INTO messages (session_id, session_uuid, seq, role, content_text, timestamp, source_kind)\n VALUES (?, ?, ?, ?, ?, ?, ?)\n `);\n const ftsStmt = db.prepare<unknown, [number, string, string, number, string, string]>(`\n INSERT INTO messages_fts(rowid, content_text, session_uuid, seq, role, timestamp)\n VALUES (?, ?, ?, ?, ?, ?)\n `);\n\n for (const message of session.messages) {\n const result = messageStmt.run(\n sessionRow.id,\n session.sessionUuid,\n message.seq,\n message.role,\n message.contentText,\n message.timestamp,\n message.sourceKind,\n );\n const messageId = Number(result.lastInsertRowid);\n // Feed the FTS index with tokenized text so that CJK runs are split\n // into bigrams by tokenize(). Stored content in messages.content_text\n // stays raw for display.\n ftsStmt.run(\n messageId,\n tokenizedText(message.contentText),\n session.sessionUuid,\n message.seq,\n message.role,\n message.timestamp,\n );\n }\n });\n\n tx();\n}\n\nexport function getSessionRecord(db: Database, sessionUuid: string): SessionRecord | null {\n const row = db\n .query<SessionRecord & { filePath: string }, [string]>(`\n SELECT\n session_uuid AS sessionUuid,\n file_path AS filePath,\n title,\n summary_text AS summaryText,\n cwd,\n model,\n started_at AS startedAt,\n ended_at AS endedAt,\n message_count AS messageCount\n FROM sessions\n WHERE session_uuid = ?\n LIMIT 1\n `)\n .get(sessionUuid) as (SessionRecord & { filePath: string }) | null;\n\n if (!row) return null;\n return row;\n}\n\nfunction ensureTextColumn(db: Database, tableName: string, columnName: string): void {\n const columns = db\n .query(`PRAGMA table_info(${tableName})`)\n .all() as Array<{ name?: string }>;\n\n if (columns.some((column) => column.name === columnName)) return;\n db.run(`ALTER TABLE ${tableName} ADD COLUMN ${columnName} TEXT NOT NULL DEFAULT ''`);\n}\n\nexport function getMessagesForRange(\n db: Database,\n sessionUuid: string,\n startSeq: number,\n endSeq: number,\n): MessageRecord[] {\n return db\n .query<MessageRecord, [string, number, number]>(`\n SELECT\n session_uuid AS sessionUuid,\n seq,\n role,\n content_text AS contentText,\n timestamp,\n source_kind AS sourceKind\n FROM messages\n WHERE session_uuid = ? AND seq BETWEEN ? AND ?\n ORDER BY seq\n `)\n .all(sessionUuid, startSeq, endSeq) as MessageRecord[];\n}\n\nexport function getMessagesForPage(\n db: Database,\n sessionUuid: string,\n offset: number,\n limit: number,\n): MessageRecord[] {\n return db\n .query<MessageRecord, [string, number, number]>(`\n SELECT\n session_uuid AS sessionUuid,\n seq,\n role,\n content_text AS contentText,\n timestamp,\n source_kind AS sourceKind\n FROM messages\n WHERE session_uuid = ?\n ORDER BY seq\n LIMIT ? OFFSET ?\n `)\n .all(sessionUuid, limit, offset) as MessageRecord[];\n}\n\nexport function listSessions(db: Database, query: SessionListQuery): SessionListEntry[] {\n const conditions: string[] = [];\n const params: SqlParams = [];\n if (query.cwd) {\n // Substring match rather than prefix/equality: agent callers often pass\n // the trailing segment of a project path, not the full canonical path.\n conditions.push(\"lower(cwd) LIKE ? ESCAPE '\\\\'\");\n params.push(`%${escapeLike(query.cwd.toLowerCase())}%`);\n }\n if (query.since) {\n conditions.push(\"ended_at >= ?\");\n params.push(query.since);\n }\n const where = conditions.length > 0 ? `WHERE ${conditions.join(\" AND \")}` : \"\";\n\n const orderColumn = query.sort === \"started\"\n ? \"started_at\"\n : query.sort === \"messages\"\n ? \"message_count\"\n : \"ended_at\";\n\n params.push(query.limit);\n\n return db\n .query<SessionListEntry, typeof params>(`\n SELECT\n session_uuid AS sessionUuid,\n title,\n summary_text AS summaryText,\n cwd,\n started_at AS startedAt,\n ended_at AS endedAt,\n message_count AS messageCount\n FROM sessions\n ${where}\n ORDER BY ${orderColumn} DESC\n LIMIT ?\n `)\n .all(...params) as SessionListEntry[];\n}\n\nexport function getStatsCounts(db: Database): {\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n lastSyncAt: string | null;\n} {\n const row = db\n .query(`\n SELECT\n COUNT(*) AS sessionCount,\n COALESCE(SUM(message_count), 0) AS messageCount,\n MIN(started_at) AS earliestStartedAt,\n MAX(ended_at) AS latestEndedAt,\n MAX(updated_at) AS lastSyncAt\n FROM sessions\n `)\n .get() as {\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n lastSyncAt: string | null;\n };\n return row;\n}\n\nexport function getTopCwds(db: Database, limit: number): CwdCount[] {\n return db\n .query<CwdCount, [number]>(`\n SELECT cwd, COUNT(*) AS count\n FROM sessions\n WHERE cwd != ''\n GROUP BY cwd\n ORDER BY count DESC, cwd ASC\n LIMIT ?\n `)\n .all(limit) as CwdCount[];\n}\n\nfunction escapeLike(value: string): string {\n return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", 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Wrapping in try/finally at\n// every callsite is noise — fold it once.\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":63494,"cache_read_input_tokens":45875,"output_tokens":826,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":63494},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":826,"cache_read_input_tokens":45875,"cache_creation_input_tokens":63494,"cache_creation":{"ephemeral_5m_input_tokens":63494,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"b0166e91-6090-4705-a60d-b5b7c4c66125","timestamp":"2026-04-27T04:05:04.578Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 120 120 + {"parentUuid":"b0166e91-6090-4705-a60d-b5b7c4c66125","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_013PSNjRU2bSqg3nVvHWAbBd","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"b65da38e-f863-437d-8298-8eae51d4fc23","timestamp":"2026-04-27T04:05:04.587Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 121 121 + {"parentUuid":"b0166e91-6090-4705-a60d-b5b7c4c66125","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013PSNjRU2bSqg3nVvHWAbBd","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/db.ts has been updated successfully."}]},"uuid":"bc68772c-f012-4d55-8b78-d7b6c5c201d8","timestamp":"2026-04-27T04:05:04.591Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/db.ts","oldString":"export function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n}","newString":"export function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n}\n\n// Why: callers used to do `const db = openReadDb(...); ... db.close();` which\n// leaks the connection if work in between throws. Wrapping in try/finally at\n// every callsite is noise — fold it once.\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}","originalFile":null,"structuredPatch":[{"oldStart":31,"oldLines":6,"newStart":31,"newLines":18,"lines":[" return db;"," }"," ","+// Why: callers used to do `const db = openReadDb(...); ... db.close();` which","+// leaks the connection if work in between throws. Wrapping in try/finally at","+// every callsite is noise — fold it once.","+export function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {","+ const db = openReadDb(dbPath);","+ try {","+ return fn(db);","+ } finally {","+ db.close();","+ }","+}","+"," export function openWriteDb(dbPath: string): Database {"," const db = new Database(dbPath);"," db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b0166e91-6090-4705-a60d-b5b7c4c66125","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 122 122 + 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{"parentUuid":"aac2f840-0e9f-47b2-88f5-2893d8bf004b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01RqVbF5btD7HVems2aS8XpN","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"44d16c9e-697d-4acb-9f83-ac618abf57b6","timestamp":"2026-04-27T04:05:30.652Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 131 131 + {"parentUuid":"aac2f840-0e9f-47b2-88f5-2893d8bf004b","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RqVbF5btD7HVems2aS8XpN","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.ts has been updated successfully."}]},"uuid":"ea89584c-a4f0-495f-9136-765d12db8753","timestamp":"2026-04-27T04:05:30.655Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","oldString":"import {\n getMessagesForPage,\n getMessagesForRange,\n getSessionRecord,\n getStatsCounts,\n getTopCwds,\n listSessions,\n openReadDb,\n} from \"./db\";","newString":"import {\n getMessagesForPage,\n getMessagesForRange,\n getSessionRecord,\n getStatsCounts,\n getTopCwds,\n listSessions,\n withReadDb,\n} from \"./db\";","originalFile":null,"structuredPatch":[{"oldStart":8,"oldLines":7,"newStart":8,"newLines":7,"lines":[" getStatsCounts,"," getTopCwds,"," listSessions,","- openReadDb,","+ withReadDb,"," } from \"./db\";"," import { INDEX_VERSION } from \"./env\";"," import { classifyQueryProfile, rerankHits } from \"./ranking\";"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"aac2f840-0e9f-47b2-88f5-2893d8bf004b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 132 132 + {"parentUuid":"ea89584c-a4f0-495f-9136-765d12db8753","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01NvFUz35GBoyvrtZgxwKjfx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D5DfhJJ5BqMPszq1PB8RZT","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.ts","old_string":"export function findSessions(\n dbPath: string,\n query: string,\n limit: number,\n): { query: string; results: FindResult[] } {\n const db = openReadDb(dbPath);\n const recallLimit = Math.max(limit * 12, 50);\n const rawRows = [\n ...searchMessageHits(db, query, recallLimit),\n ...searchSessionHits(db, query, recallLimit),\n ];\n const results = rerankHits(rawRows, query, limit);\n db.close();\n return { query, results };\n}","new_string":"export function findSessions(\n dbPath: string,\n query: string,\n limit: number,\n): { query: string; results: FindResult[] } {\n return withReadDb(dbPath, (db) => {\n const recallLimit = Math.max(limit * 12, 50);\n const rawRows = [\n ...searchMessageHits(db, query, recallLimit),\n ...searchSessionHits(db, query, recallLimit),\n ];\n const results = rerankHits(rawRows, query, limit);\n return { query, results };\n });\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":110325,"output_tokens":4991,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4991,"cache_read_input_tokens":110325,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"976467de-e4f1-4f1b-884b-561dad361daa","timestamp":"2026-04-27T04:05:33.251Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 133 133 + 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rerankHits(rawRows, query, limit);\n return { query, results };\n });\n}","originalFile":null,"structuredPatch":[{"oldStart":31,"oldLines":15,"newStart":31,"newLines":15,"lines":[" query: string,"," limit: number,"," ): { query: string; results: FindResult[] } {","- const db = openReadDb(dbPath);","- const recallLimit = Math.max(limit * 12, 50);","- const rawRows = [","- ...searchMessageHits(db, query, recallLimit),","- ...searchSessionHits(db, query, recallLimit),","- ];","- const results = rerankHits(rawRows, query, limit);","- db.close();","- return { query, results };","+ return withReadDb(dbPath, (db) => {","+ const recallLimit = Math.max(limit * 12, 50);","+ const rawRows = [","+ ...searchMessageHits(db, query, recallLimit),","+ ...searchSessionHits(db, query, recallLimit),","+ ];","+ const results = rerankHits(rawRows, query, limit);","+ return { query, results };","+ });"," }"," "," export function getMessageRange("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"976467de-e4f1-4f1b-884b-561dad361daa","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 135 135 + {"parentUuid":"3428abd9-b8df-46c1-8f24-f003c578c983","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01NvFUz35GBoyvrtZgxwKjfx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J3n3eXsHz814YcnB6D1FE1","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.ts","old_string":" const db = openReadDb(dbPath);\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n db.close();\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n}","new_string":" return withReadDb(dbPath, (db) => {\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n });\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":110325,"output_tokens":4991,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4991,"cache_read_input_tokens":110325,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"12b0dfd9-7ded-49c1-80b4-1f0b79fe28fe","timestamp":"2026-04-27T04:05:37.075Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 136 136 + {"parentUuid":"12b0dfd9-7ded-49c1-80b4-1f0b79fe28fe","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01J3n3eXsHz814YcnB6D1FE1","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"9ea9011a-a0e1-4c18-b927-327c803f29d7","timestamp":"2026-04-27T04:05:37.106Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 137 137 + {"parentUuid":"12b0dfd9-7ded-49c1-80b4-1f0b79fe28fe","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J3n3eXsHz814YcnB6D1FE1","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.ts has been updated successfully."}]},"uuid":"7dce9193-6a0a-4f28-a04c-43ef1c869453","timestamp":"2026-04-27T04:05:37.109Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","oldString":" const db = openReadDb(dbPath);\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n db.close();\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n}","newString":" return withReadDb(dbPath, (db) => {\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n });\n}","originalFile":null,"structuredPatch":[{"oldStart":53,"oldLines":16,"newStart":53,"newLines":16,"lines":[" rangeEndSeq: number;"," messages: ReturnType<typeof getMessagesForRange>;"," } {","- const db = openReadDb(dbPath);","- const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);","- const session = getSessionRecord(db, sessionUuid);","- if (!session) throw new Error(`session not found: ${sessionUuid}`);","+ return withReadDb(dbPath, (db) => {","+ const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);","+ const session = getSessionRecord(db, sessionUuid);","+ if (!session) throw new Error(`session not found: ${sessionUuid}`);"," ","- const rangeStartSeq = Math.max(0, anchorSeq - options.before);","- const rangeEndSeq = anchorSeq + options.after;","- const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);","- db.close();","- return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };","+ const rangeStartSeq = Math.max(0, anchorSeq - options.before);","+ const rangeEndSeq = anchorSeq + options.after;","+ const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);","+ return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };","+ });"," }"," "," export function getMessagePage("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"12b0dfd9-7ded-49c1-80b4-1f0b79fe28fe","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 138 138 + {"parentUuid":"7dce9193-6a0a-4f28-a04c-43ef1c869453","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01NvFUz35GBoyvrtZgxwKjfx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A2DgAvvXSnS3vRR9h7kbdw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.ts","old_string":" const db = openReadDb(dbPath);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n db.close();\n return { session, offset, limit, totalCount, hasMore, messages };\n}","new_string":" return withReadDb(dbPath, (db) => {\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n return { session, offset, limit, totalCount, hasMore, messages };\n });\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":110325,"output_tokens":4991,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4991,"cache_read_input_tokens":110325,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c7d77ee2-debf-4006-990f-36ef2b2edbc5","timestamp":"2026-04-27T04:05:40.286Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 139 139 + {"parentUuid":"c7d77ee2-debf-4006-990f-36ef2b2edbc5","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01A2DgAvvXSnS3vRR9h7kbdw","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"658660d7-e5bf-4234-b44e-59c946797a5a","timestamp":"2026-04-27T04:05:40.301Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 140 140 + {"parentUuid":"c7d77ee2-debf-4006-990f-36ef2b2edbc5","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A2DgAvvXSnS3vRR9h7kbdw","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.ts has been updated successfully."}]},"uuid":"a327cf6f-2629-4e59-8a59-679fe4d9b0f7","timestamp":"2026-04-27T04:05:40.311Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","oldString":" const db = openReadDb(dbPath);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n db.close();\n return { session, offset, limit, totalCount, hasMore, messages };\n}","newString":" return withReadDb(dbPath, (db) => {\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n return { session, offset, limit, totalCount, hasMore, messages };\n });\n}","originalFile":null,"structuredPatch":[{"oldStart":78,"oldLines":14,"newStart":78,"newLines":14,"lines":[" hasMore: boolean;"," messages: ReturnType<typeof getMessagesForPage>;"," } {","- const db = openReadDb(dbPath);","- const session = getSessionRecord(db, sessionUuid);","- if (!session) throw new Error(`session not found: ${sessionUuid}`);","- const messages = getMessagesForPage(db, sessionUuid, offset, limit);","- const totalCount = session.messageCount;","- const hasMore = offset + messages.length < totalCount;","- db.close();","- return { session, offset, limit, totalCount, hasMore, messages };","+ return withReadDb(dbPath, (db) => {","+ const session = getSessionRecord(db, sessionUuid);","+ if (!session) throw new Error(`session not found: ${sessionUuid}`);","+ const messages = getMessagesForPage(db, sessionUuid, offset, limit);","+ const totalCount = session.messageCount;","+ const hasMore = offset + messages.length < totalCount;","+ return { session, offset, limit, totalCount, hasMore, messages };","+ });"," }"," "," export function listSessionSummaries("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c7d77ee2-debf-4006-990f-36ef2b2edbc5","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 141 141 + {"parentUuid":"a327cf6f-2629-4e59-8a59-679fe4d9b0f7","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01NvFUz35GBoyvrtZgxwKjfx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Gii6ovhuX1VVXQZdYr6Zx4","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.ts","old_string":"export function listSessionSummaries(\n dbPath: string,\n query: SessionListQuery,\n): { query: SessionListQuery; results: SessionListEntry[] } {\n const db = openReadDb(dbPath);\n const results = listSessions(db, query);\n db.close();\n return { query, results };\n}","new_string":"export function listSessionSummaries(\n dbPath: string,\n query: SessionListQuery,\n): { query: SessionListQuery; results: SessionListEntry[] } {\n return withReadDb(dbPath, (db) => {\n const results = listSessions(db, query);\n return { query, results };\n 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Exported for unit tests.","+export function tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {","+ const reChecked = readLockInfo(lockPath);","+ if (!reChecked) return true;","+ if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {","+ return false;","+ }","+ removeLockIfPresent(lockPath);","+ return true;","+}","+"," function readLockInfo(lockPath: string): SyncLockInfo | null {"," try {"," const raw = readFileSync(lockPath, \"utf8\");"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a0b09efa-ecc1-4824-a5f4-c581d4b29052","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 167 167 + 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CLI translates this into a structured --json","+// error instead of leaking SQLite's raw exception.","+export class CurrentStateDbError extends Error {","+ constructor(message: string) {","+ super(message);","+ this.name = \"CurrentStateDbError\";","+ }","+}","+"," export function findSessions("," dbPath: string,"," query: string,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6c5d34b0-cd4f-4ed5-ba6d-f25eb1cb0d5d","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 186 186 + 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sessionUuid,\n title,\n cwd,\n rollout_path AS filePath,\n COALESCE(updated_at_ms, 0) AS updatedAtMs\n FROM threads\n WHERE cwd = ?\n ORDER BY updated_at_ms DESC\n LIMIT ?\n `)\n .all(normalizedCwd, limit) as CurrentSessionCandidate[];\n return { cwd: normalizedCwd, candidates };\n } finally {\n db.close();\n }\n}","originalFile":null,"structuredPatch":[{"oldStart":120,"oldLines":6,"newStart":120,"newLines":11,"lines":[" "," const db = new Database(stateDbPath, { readonly: true });"," try {","+ if (!tableExists(db, \"threads\")) {","+ throw new CurrentStateDbError(","+ `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,","+ );","+ }"," const candidates = db"," .query<CurrentSessionCandidate, [string, number]>(`"," SELECT"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"00b7e514-da7f-440f-8204-0a2dd2f2c4de","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 189 189 + 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{"parentUuid":"326acb31-89d0-4063-9d6e-781315a30ba6","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016bmUf3zEio2kF9PYzdtj4Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YGuQLm7YDsAnWHgq6HsVA2","name":"TaskUpdate","input":{"taskId":"5","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1674,"cache_read_input_tokens":118599,"output_tokens":165,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1674},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":165,"cache_read_input_tokens":118599,"cache_creation_input_tokens":1674,"cache_creation":{"ephemeral_5m_input_tokens":1674,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"bf442ece-71a2-4dcb-b92c-67c7cd2f5bed","timestamp":"2026-04-27T04:06:34.267Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 193 193 + {"parentUuid":"bf442ece-71a2-4dcb-b92c-67c7cd2f5bed","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:TaskUpdate","toolUseID":"toolu_01YGuQLm7YDsAnWHgq6HsVA2","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"388111bc-1bd6-4f91-b7b2-2f81955dce16","timestamp":"2026-04-27T04:06:34.275Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 194 194 + {"parentUuid":"bf442ece-71a2-4dcb-b92c-67c7cd2f5bed","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YGuQLm7YDsAnWHgq6HsVA2","type":"tool_result","content":"Updated task #5 status"}]},"uuid":"1b1eec55-8947-4326-b37d-8030502fd64e","timestamp":"2026-04-27T04:06:34.277Z","toolUseResult":{"success":true,"taskId":"5","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"},"verificationNudgeNeeded":false},"sourceToolAssistantUUID":"bf442ece-71a2-4dcb-b92c-67c7cd2f5bed","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 195 195 + {"parentUuid":"1b1eec55-8947-4326-b37d-8030502fd64e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Nrfao7TSiv88q5fqqFe6eQ","type":"message","role":"assistant","content":[{"type":"text","text":"进入 P0-4 步骤 2:cli.ts 包 try/catch + 加 emitCurrentError。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":120273,"output_tokens":1294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1294,"cache_read_input_tokens":120273,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"3d7519cc-ee4b-49f3-a28a-7b8e5c4cc86d","timestamp":"2026-04-27T04:06:36.733Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 196 196 + {"parentUuid":"3d7519cc-ee4b-49f3-a28a-7b8e5c4cc86d","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Nrfao7TSiv88q5fqqFe6eQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01USLeMqifRRB8bwC9DJofNp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.ts","old_string":"import {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";","new_string":"import {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":120273,"output_tokens":1294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1294,"cache_read_input_tokens":120273,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"aaab7914-ead8-4f73-9c99-93d0b891da32","timestamp":"2026-04-27T04:06:39.042Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 197 197 + {"parentUuid":"aaab7914-ead8-4f73-9c99-93d0b891da32","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01USLeMqifRRB8bwC9DJofNp","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"cd8500a8-5270-4798-b78e-64cad2f652dd","timestamp":"2026-04-27T04:06:39.055Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 198 198 + {"parentUuid":"aaab7914-ead8-4f73-9c99-93d0b891da32","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01USLeMqifRRB8bwC9DJofNp","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated successfully."}]},"uuid":"e5216f9d-8102-4074-8fc6-7e0e800b1352","timestamp":"2026-04-27T04:06:39.062Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","oldString":"import {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";","newString":"import {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n","structuredPatch":[{"oldStart":15,"oldLines":6,"newStart":15,"newLines":7,"lines":[" import { SyncError, syncSessions } from \"./indexer\";"," import {"," collectStats,","+ CurrentStateDbError,"," findSessions,"," getCurrentSessions,"," getMessagePage,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"aaab7914-ead8-4f73-9c99-93d0b891da32","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 199 199 + {"parentUuid":"e5216f9d-8102-4074-8fc6-7e0e800b1352","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Nrfao7TSiv88q5fqqFe6eQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Gd2ufta3srZnjXMh33nb9b","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.ts","old_string":" .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });","new_string":" .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":120273,"output_tokens":1294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1294,"cache_read_input_tokens":120273,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"798216c0-45a5-4e1e-8200-b03619948b6f","timestamp":"2026-04-27T04:06:43.616Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 200 200 + {"parentUuid":"798216c0-45a5-4e1e-8200-b03619948b6f","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01Gd2ufta3srZnjXMh33nb9b","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"56276e9b-3754-4e01-aace-ab8e63f1e4d3","timestamp":"2026-04-27T04:06:43.636Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 201 201 + {"parentUuid":"798216c0-45a5-4e1e-8200-b03619948b6f","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Gd2ufta3srZnjXMh33nb9b","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated 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null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n","structuredPatch":[{"oldStart":41,"oldLines":16,"newStart":41,"newLines":24,"lines":[" .option(\"--json\", \"输出 JSON\")"," .action((options) => {"," const cwd = options.cwd ?? process.cwd();","- if (!existsSync(options.stateDb)) {","- throw new Error(`state db not found: ${options.stateDb}`);","+ const jsonMode = Boolean(options.json);","+ try {","+ if (!existsSync(options.stateDb)) {","+ throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);","+ }","+ const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));","+ if (jsonMode) {","+ console.log(JSON.stringify(result, null, 2));","+ return;","+ }","+ printCurrentSessions(result.cwd, result.candidates);","+ } catch (error) {","+ if (error instanceof CurrentStateDbError) {","+ emitCurrentError(error, jsonMode);","+ return;","+ }","+ throw error;"," }","-","- const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));","- if (options.json) {","- console.log(JSON.stringify(result, null, 2));","- return;","- }","- printCurrentSessions(result.cwd, result.candidates);"," });"," "," program"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"798216c0-45a5-4e1e-8200-b03619948b6f","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 202 202 + {"parentUuid":"56b339a8-92d2-4256-874a-7a6c667edd5e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Nrfao7TSiv88q5fqqFe6eQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012D5xpovmmENJMsJYcYNjUS","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.ts","old_string":"function normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}","new_string":"function normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return 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1;\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":120273,"output_tokens":1294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1294,"cache_read_input_tokens":120273,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"2e141f07-137f-4436-82e5-02f47d222235","timestamp":"2026-04-27T04:06:46.635Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 203 203 + {"parentUuid":"2e141f07-137f-4436-82e5-02f47d222235","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_012D5xpovmmENJMsJYcYNjUS","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"b0f6ee62-fc26-4903-9fd6-c3e945c5ef87","timestamp":"2026-04-27T04:06:46.648Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 204 204 + {"parentUuid":"2e141f07-137f-4436-82e5-02f47d222235","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012D5xpovmmENJMsJYcYNjUS","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated 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DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n","structuredPatch":[{"oldStart":235,"oldLines":3,"newStart":235,"newLines":18,"lines":[" if (value === \"started\" || value === \"messages\") return value;"," return \"ended\";"," }","+","+function emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {","+ if (jsonMode) {","+ console.log(","+ JSON.stringify(","+ { error: { code: 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\"permissionDecisionReason\": \"RTK auto-rewrite\",\n \"updatedInput\": {\n \"command\": \"rtk grep -n \\\"^import\\\\|^test\\\\|getCurrentSessions\\\\|describe\\\\|tmp\\\\|mkdtemp\\\\|tempDir\\\" /Users/envvar/work/repos/cxs/query.test.ts | head -50\",\n \"description\": \"Inspect query.test.ts structure\"\n }\n }\n}\n","stderr":"","exitCode":0,"command":"/Users/envvar/.claude/hooks/rtk-rewrite.sh","durationMs":156},"type":"attachment","uuid":"b268c3b5-35be-438a-bd27-998ce5395c49","timestamp":"2026-04-27T04:06:54.091Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 219 219 + {"parentUuid":"688880f5-a24f-40c0-947f-ea5164aba8d5","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ANw51PMYvAMcxZea7CTxzw","type":"tool_result","content":"59 matches in 23F:\n\n[file] /Users/envvar/work/repos/cxs/query.test.ts (37):\n 8: import { openReadDb, openWriteDb, replaceSession } from \"./db\";\n 9: import { INDEX_VERSION } from \"./env\";\n 10: import { syncSessions } from \"./indexer\";\n 11: import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePa...\n 16: for (const dir of tempDirs.splice(0)) {\n 21: describe(\"cxs retrieval flow\", () => {\n 23: const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n 24: tempDirs.push(base);\n 38: [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"old...\n 42: [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"new...\n 46: [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other...\n 50: const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n 51: expect(result.cwd).toBe(\"/tmp/project\");\n 56: expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n 60: const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n 61: tempDirs.push(base);\n 110: const base = mkdtempSync(join(tmpdir(), \"cxs-query-\"));\n 111: tempDirs.push(base);\n 143: const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\n 144: tempDirs.push(base);\n 179: const base = mkdtempSync(join(tmpdir(), \"cxs-broad-\"));\n 180: tempDirs.push(base);\n 215: const base = mkdtempSync(join(tmpdir(), \"cxs-summary-\"));\n 216: tempDirs.push(base);\n 251: const base = mkdtempSync(join(tmpdir(), \"cxs-session-title-\"));\n +12\n\n[file] 1 (1):\n 0: test\";\n\n[file] 118 (1):\n 0: \"33333333-3333-4333-8333-333333333333\", cwd: \"/tmp/project-c\" }),\n\n[file] 13 (1):\n 0: string[] = [];\n\n[file] 151 (1):\n 0: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n\n[file] 187 (1):\n 0: \"cccccccc-cccc-4ccc-8ccc-cccccccccccc\", cwd: \"/tmp/deploy-title\" }),\n\n[file] 198 (1):\n 0: \"dddddddd-dddd-4ddd-8ddd-dddddddddddd\", cwd: \"/tmp/deploy-incident\" }),\n\n[file] 2 (1):\n 0: sqlite\";\n[rerun: b6]","is_error":false}]},"uuid":"8ee4e561-2981-4ee2-a5ac-fa8986f303b6","timestamp":"2026-04-27T04:06:54.195Z","toolUseResult":{"stdout":"59 matches in 23F:\n\n[file] /Users/envvar/work/repos/cxs/query.test.ts (37):\n 8: import { openReadDb, openWriteDb, replaceSession } from \"./db\";\n 9: import { INDEX_VERSION } from \"./env\";\n 10: import { syncSessions } from \"./indexer\";\n 11: import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePa...\n 16: for (const dir of tempDirs.splice(0)) {\n 21: describe(\"cxs retrieval flow\", () => {\n 23: const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n 24: tempDirs.push(base);\n 38: [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"old...\n 42: [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"new...\n 46: [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other...\n 50: const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n 51: expect(result.cwd).toBe(\"/tmp/project\");\n 56: expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n 60: const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n 61: tempDirs.push(base);\n 110: const base = mkdtempSync(join(tmpdir(), \"cxs-query-\"));\n 111: tempDirs.push(base);\n 143: const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\n 144: tempDirs.push(base);\n 179: const base = mkdtempSync(join(tmpdir(), \"cxs-broad-\"));\n 180: tempDirs.push(base);\n 215: const base = mkdtempSync(join(tmpdir(), \"cxs-summary-\"));\n 216: tempDirs.push(base);\n 251: const base = mkdtempSync(join(tmpdir(), \"cxs-session-title-\"));\n +12\n\n[file] 1 (1):\n 0: test\";\n\n[file] 118 (1):\n 0: \"33333333-3333-4333-8333-333333333333\", cwd: \"/tmp/project-c\" }),\n\n[file] 13 (1):\n 0: string[] = [];\n\n[file] 151 (1):\n 0: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n\n[file] 187 (1):\n 0: \"cccccccc-cccc-4ccc-8ccc-cccccccccccc\", cwd: \"/tmp/deploy-title\" }),\n\n[file] 198 (1):\n 0: \"dddddddd-dddd-4ddd-8ddd-dddddddddddd\", cwd: \"/tmp/deploy-incident\" }),\n\n[file] 2 (1):\n 0: sqlite\";","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"688880f5-a24f-40c0-947f-ea5164aba8d5","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 220 220 + 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221 221 + {"parentUuid":"e27628d7-195e-4ec4-b7b8-dc78d0d83cbc","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01Bz4toJHRdfZr9aD51xK3a2","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"5df43933-71ac-44e9-b043-120d1fd2d5dd","timestamp":"2026-04-27T04:06:57.012Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 222 222 + {"parentUuid":"e27628d7-195e-4ec4-b7b8-dc78d0d83cbc","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bz4toJHRdfZr9aD51xK3a2","type":"tool_result","content":"1\timport { afterEach, describe, expect, test } from \"bun:test\";\n2\timport { Database } from \"bun:sqlite\";\n3\timport { spawn } from \"node:child_process\";\n4\timport { mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\n5\timport { tmpdir } from \"node:os\";\n6\timport { join } from \"node:path\";\n7\timport { pathToFileURL } from \"node:url\";\n8\timport { openReadDb, openWriteDb, replaceSession } from \"./db\";\n9\timport { INDEX_VERSION } from \"./env\";\n10\timport { syncSessions } from \"./indexer\";\n11\timport { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";\n12\t\n13\tconst tempDirs: string[] = [];\n14\t\n15\tafterEach(() => {\n16\t for (const dir of tempDirs.splice(0)) {\n17\t rmSync(dir, { recursive: true, force: true });\n18\t }\n19\t});\n20\t\n21\tdescribe(\"cxs retrieval flow\", () => {\n22\t test(\"current returns latest thread candidates for cwd from Codex state db\", () => {\n23\t const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n24\t tempDirs.push(base);\n25\t const stateDbPath = join(base, \"state.sqlite\");\n26\t const db = new Database(stateDbPath);\n27\t db.run(`\n28\t CREATE TABLE threads (\n29\t id TEXT PRIMARY KEY,\n30\t rollout_path TEXT NOT NULL,\n31\t cwd TEXT NOT NULL,\n32\t title TEXT NOT NULL,\n33\t updated_at_ms INTEGER\n34\t )\n35\t `);\n36\t db.run(\n37\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n38\t [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"older\", 100],\n39\t );\n40\t db.run(\n41\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n42\t [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"newer\", 200],\n43\t );\n44\t db.run(\n45\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n46\t [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other\", 300],\n47\t );\n48\t db.close();\n49\t\n50\t const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n51\t expect(result.cwd).toBe(\"/tmp/project\");\n52\t expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n53\t \"22222222-2222-4222-8222-222222222222\",\n54\t \"11111111-1111-4111-8111-111111111111\",\n55\t ]);\n56\t expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n57\t });\n58\t\n59\t test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {\n60\t const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n61\t tempDirs.push(base);\n62\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n63\t mkdirSync(sessionsRoot, { recursive: true });\n64\t\n65\t writeFileSync(\n66\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-11111111-1111-4111-8111-111111111111.jsonl\"),\n67\t [\n68\t line(\"session_meta\", { id: \"11111111-1111-4111-8111-111111111111\", cwd: \"/tmp/project-a\" }),\n69\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n70\t line(\"event_msg\", { type: \"user_message\", message: \"排查 fly deploy 失败\" }),\n71\t line(\"event_msg\", { type: \"agent_message\", message: \"先看 health check 和 readback\" }),\n72\t line(\"event_msg\", { type: \"user_message\", message: \"health check 还是 500\" }),\n73\t line(\"event_msg\", { type: \"agent_message\", message: \"继续检查 secrets readback\" }),\n74\t ].join(\"\\n\"),\n75\t );"}]},"uuid":"62d3596b-ad33-4230-a24c-ac05da8436f2","timestamp":"2026-04-27T04:06:57.014Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","content":"import { afterEach, describe, expect, test } from \"bun:test\";\nimport { Database } from \"bun:sqlite\";\nimport { spawn } from \"node:child_process\";\nimport { mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { pathToFileURL } from \"node:url\";\nimport { openReadDb, openWriteDb, replaceSession } from \"./db\";\nimport { INDEX_VERSION } from \"./env\";\nimport { syncSessions } from \"./indexer\";\nimport { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";\n\nconst tempDirs: string[] = [];\n\nafterEach(() => {\n for (const dir of tempDirs.splice(0)) {\n rmSync(dir, { recursive: true, force: true });\n }\n});\n\ndescribe(\"cxs retrieval flow\", () => {\n test(\"current returns latest thread candidates for cwd from Codex state db\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n rollout_path TEXT NOT NULL,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL,\n updated_at_ms INTEGER\n )\n `);\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"older\", 100],\n );\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"newer\", 200],\n );\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other\", 300],\n );\n db.close();\n\n const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-11111111-1111-4111-8111-111111111111.jsonl\"),\n [\n line(\"session_meta\", { id: \"11111111-1111-4111-8111-111111111111\", cwd: \"/tmp/project-a\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"排查 fly deploy 失败\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先看 health check 和 readback\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"health check 还是 500\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"继续检查 secrets readback\" }),\n ].join(\"\\n\"),\n );","numLines":75,"startLine":1,"totalLines":615}},"sourceToolAssistantUUID":"e27628d7-195e-4ec4-b7b8-dc78d0d83cbc","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 223 223 + {"parentUuid":"62d3596b-ad33-4230-a24c-ac05da8436f2","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01HeSHYEnPP1aw9tjyZ14E1T","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":123622,"output_tokens":1312,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1770},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1312,"cache_read_input_tokens":123622,"cache_creation_input_tokens":1770,"cache_creation":{"ephemeral_5m_input_tokens":1770,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"a7400769-04d2-412c-94c6-13deccda7d97","timestamp":"2026-04-27T04:07:02.295Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 224 224 + {"parentUuid":"a7400769-04d2-412c-94c6-13deccda7d97","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01HeSHYEnPP1aw9tjyZ14E1T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016MC3g1YVTsJoR77FPV3Wor","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.test.ts","old_string":"import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";","new_string":"import {\n classifyQueryProfile,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n} from \"./query\";"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":123622,"output_tokens":1312,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1770},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1312,"cache_read_input_tokens":123622,"cache_creation_input_tokens":1770,"cache_creation":{"ephemeral_5m_input_tokens":1770,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"0048b2d9-a622-4fae-8b30-d0d337ecac3b","timestamp":"2026-04-27T04:07:05.016Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 225 225 + {"parentUuid":"0048b2d9-a622-4fae-8b30-d0d337ecac3b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_016MC3g1YVTsJoR77FPV3Wor","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"a1029c20-ba22-4128-9ef1-eab01fc51bab","timestamp":"2026-04-27T04:07:05.025Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 226 226 + {"parentUuid":"0048b2d9-a622-4fae-8b30-d0d337ecac3b","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016MC3g1YVTsJoR77FPV3Wor","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.test.ts has been updated successfully."}]},"uuid":"53d22d36-5c30-466a-8288-6d23cc2ddbb9","timestamp":"2026-04-27T04:07:05.027Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","oldString":"import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";","newString":"import {\n classifyQueryProfile,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n} from \"./query\";","originalFile":null,"structuredPatch":[{"oldStart":8,"oldLines":7,"newStart":8,"newLines":14,"lines":[" import { openReadDb, openWriteDb, replaceSession } from \"./db\";"," import { INDEX_VERSION } from \"./env\";"," import { syncSessions } from \"./indexer\";","-import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";","+import {","+ classifyQueryProfile,","+ CurrentStateDbError,","+ findSessions,","+ getCurrentSessions,","+ getMessagePage,","+ getMessageRange,","+} from \"./query\";"," "," const tempDirs: string[] = [];"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0048b2d9-a622-4fae-8b30-d0d337ecac3b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 227 227 + {"parentUuid":"53d22d36-5c30-466a-8288-6d23cc2ddbb9","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01HeSHYEnPP1aw9tjyZ14E1T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HeTjZPBaZVq2Sjx35o1SPB","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.test.ts","old_string":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {","new_string":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":123622,"output_tokens":1312,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1770},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1312,"cache_read_input_tokens":123622,"cache_creation_input_tokens":1770,"cache_creation":{"ephemeral_5m_input_tokens":1770,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"443136c8-906a-4252-a389-50bd68398294","timestamp":"2026-04-27T04:07:09.351Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 228 228 + 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successfully."}]},"uuid":"d0af1d66-c7cc-4057-b27b-e2c8dd63b3a8","timestamp":"2026-04-27T04:07:09.378Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","oldString":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {","newString":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {","originalFile":null,"structuredPatch":[{"oldStart":63,"oldLines":6,"newStart":63,"newLines":24,"lines":[" expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");"," });"," ","+ test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {","+ const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));","+ tempDirs.push(base);","+ const stateDbPath = join(base, \"state.sqlite\");","+ const db = new Database(stateDbPath);","+ db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");","+ db.close();","+","+ let caught: unknown = null;","+ try {","+ getCurrentSessions(stateDbPath, \"/tmp/project\", 10);","+ } catch (error) {","+ caught = error;","+ }","+ expect(caught).toBeInstanceOf(CurrentStateDbError);","+ expect((caught as Error).message).toContain(\"threads\");","+ });","+"," test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {"," const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));"," 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from \"bun:sqlite\";\n3\timport { chmodSync, mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\n4\timport { tmpdir } from \"node:os\";\n5\timport { join } from \"node:path\";\n6\timport { INDEX_VERSION } from \"./env\";\n7\timport { syncSessions } from \"./indexer\";\n8\t\n9\tconst tempDirs: string[] = [];\n10\tconst unreadableFiles: string[] = [];\n11\t\n12\tafterEach(() => {\n13\t for (const filePath of unreadableFiles.splice(0)) {\n14\t try {\n15\t chmodSync(filePath, 0o644);\n16\t } catch {\n17\t // ignore cleanup failures for files that already disappeared\n18\t }\n19\t }\n20\t for (const dir of tempDirs.splice(0)) {\n21\t rmSync(dir, { recursive: true, force: true });\n22\t }\n23\t});\n24\t\n25\tdescribe(\"cxs cli\", () => {\n26\t test(\"help only shows current/sync/find/read-range/read-page/list/stats\", async () => {\n27\t const result = await runCli([\"--help\"]);\n28\t expect(result.exitCode).toBe(0);\n29\t expect(result.stdout).toContain(\"current\");\n30\t expect(result.stdout).toContain(\"sync\");\n31\t expect(result.stdout).toContain(\"find\");\n32\t expect(result.stdout).toContain(\"read-range\");\n33\t expect(result.stdout).toContain(\"read-page\");\n34\t expect(result.stdout).toContain(\"list\");\n35\t expect(result.stdout).toContain(\"stats\");\n36\t expect(result.stdout).not.toContain(\"window\");\n37\t expect(result.stdout).not.toContain(\"\\n session \");\n38\t });\n39\t\n40\t test(\"current returns candidate sessions for cwd from state db\", async () => {\n41\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-\"));\n42\t tempDirs.push(base);\n43\t const stateDbPath = join(base, \"state.sqlite\");\n44\t const db = new Database(stateDbPath);\n45\t db.run(`\n46\t CREATE TABLE threads (\n47\t id TEXT PRIMARY KEY,\n48\t rollout_path TEXT NOT NULL,\n49\t cwd TEXT NOT NULL,\n50\t title TEXT NOT NULL,\n51\t updated_at_ms INTEGER\n52\t )\n53\t `);\n54\t db.run(\n55\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n56\t [\"aaaa1111-1111-4111-8111-111111111111\", \"/tmp/one.jsonl\", \"/tmp/picc\", \"older\", 100],\n57\t );\n58\t db.run(\n59\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n60\t [\"bbbb2222-2222-4222-8222-222222222222\", \"/tmp/two.jsonl\", \"/tmp/picc\", \"newer\", 200],\n61\t );\n62\t db.close();\n63\t\n64\t const result = await runCli([\n65\t \"current\",\n66\t \"--cwd\",\n67\t \"/tmp/picc\",\n68\t \"--state-db\",\n69\t stateDbPath,\n70\t \"--json\",\n71\t ]);\n72\t expect(result.exitCode).toBe(0);\n73\t const payload = JSON.parse(result.stdout) as {\n74\t cwd: string;\n75\t candidates: Array<{ sessionUuid: string; filePath: string }>;\n76\t };\n77\t expect(payload.cwd).toBe(\"/tmp/picc\");\n78\t expect(payload.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n79\t \"bbbb2222-2222-4222-8222-222222222222\",\n80\t \"aaaa1111-1111-4111-8111-111111111111\",\n81\t ]);\n82\t expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n83\t });\n84\t\n85\t test(\"find text output points to read-range\", async () => {\n86\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-\"));\n87\t tempDirs.push(base);\n88\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n89\t mkdirSync(sessionsRoot, { recursive: true });\n90\t\n91\t writeFileSync(\n92\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-44444444-4444-4444-8444-444444444444.jsonl\"),\n93\t [\n94\t line(\"session_meta\", { id: \"44444444-4444-4444-8444-444444444444\", cwd: \"/tmp/project-d\" }),\n95\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n96\t line(\"event_msg\", { type: \"user_message\", message: \"health check 一直失败\" }),\n97\t line(\"event_msg\", { type: \"agent_message\", message: \"先看 readback\" }),\n98\t ].join(\"\\n\"),\n99\t );\n100\t\n101\t const dbPath = join(base, \"index.sqlite\");\n102\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n103\t\n104\t const result = await runCli([\"find\", \"health check\", \"--db\", dbPath]);\n105\t expect(result.exitCode).toBe(0);\n106\t expect(result.stdout).toContain(\"next: cxs read-range 44444444-4444-4444-8444-444444444444 --seq 0\");\n107\t expect(result.stdout).not.toContain(\"next: cxs window\");\n108\t });\n109\t\n110\t test(\"list filters by cwd substring and respects sort\", async () => {\n111\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-list-\"));\n112\t tempDirs.push(base);\n113\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n114\t mkdirSync(sessionsRoot, { recursive: true });\n115\t\n116\t writeFileSync(\n117\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-55555555-5555-4555-8555-555555555555.jsonl\"),\n118\t [\n119\t line(\"session_meta\", { id: \"55555555-5555-4555-8555-555555555555\", cwd: \"/tmp/alpha-proj\" }),\n120\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n121\t line(\"event_msg\", { type: \"user_message\", message: \"alpha one\" }),\n122\t ].join(\"\\n\"),\n123\t );\n124\t\n125\t writeFileSync(\n126\t join(sessionsRoot, \"rollout-2026-04-21T11-00-00-66666666-6666-4666-8666-666666666666.jsonl\"),\n127\t [\n128\t line(\"session_meta\", { id: \"66666666-6666-4666-8666-666666666666\", cwd: \"/tmp/beta-proj\" }),\n129\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n130\t line(\"event_msg\", { type: \"user_message\", message: \"beta one\" }),\n131\t ].join(\"\\n\"),\n132\t );\n133\t\n134\t const dbPath = join(base, \"index.sqlite\");\n135\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n136\t\n137\t const listed = await runCli([\"list\", \"--cwd\", \"alpha\", \"--json\", \"--db\", dbPath]);\n138\t expect(listed.exitCode).toBe(0);\n139\t const payload = JSON.parse(listed.stdout) as { results: Array<{ sessionUuid: string }> };\n140\t expect(payload.results).toHaveLength(1);\n141\t expect(payload.results[0]?.sessionUuid).toBe(\"55555555-5555-4555-8555-555555555555\");\n142\t });\n143\t\n144\t test(\"stats reports counts and index_version\", async () => {\n145\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-stats-\"));\n146\t tempDirs.push(base);\n147\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n148\t mkdirSync(sessionsRoot, { recursive: true });\n149\t\n150\t writeFileSync(\n151\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-77777777-7777-4777-8777-777777777777.jsonl\"),\n152\t [\n153\t line(\"session_meta\", { id: \"77777777-7777-4777-8777-777777777777\", cwd: \"/tmp/gamma\" }),\n154\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n155\t line(\"event_msg\", { type: \"user_message\", message: \"gamma one\" }),\n156\t line(\"event_msg\", { type: \"agent_message\", message: \"gamma reply\" }),\n157\t ].join(\"\\n\"),\n158\t );\n159\t\n160\t const dbPath = join(base, \"index.sqlite\");\n161\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n162\t\n163\t const stats = await runCli([\"stats\", \"--json\", \"--db\", dbPath]);\n164\t expect(stats.exitCode).toBe(0);\n165\t const payload = JSON.parse(stats.stdout) as {\n166\t sessionCount: number;\n167\t messageCount: number;\n168\t indexVersion: string;\n169\t topCwds: Array<{ cwd: string; count: number }>;\n170\t };\n171\t expect(payload.sessionCount).toBe(1);\n172\t expect(payload.messageCount).toBe(2);\n173\t expect(payload.indexVersion).toBe(INDEX_VERSION);\n174\t expect(payload.topCwds[0]?.cwd).toBe(\"/tmp/gamma\");\n175\t });\n176\t\n177\t test(\"read-page JSON exposes totalCount and hasMore\", async () => {\n178\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-page-\"));\n179\t tempDirs.push(base);\n180\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n181\t mkdirSync(sessionsRoot, { recursive: true });\n182\t\n183\t writeFileSync(\n184\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-88888888-8888-4888-8888-888888888888.jsonl\"),\n185\t [\n186\t line(\"session_meta\", { id: \"88888888-8888-4888-8888-888888888888\", cwd: \"/tmp/pagecheck\" }),\n187\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n188\t line(\"event_msg\", { type: \"user_message\", message: \"m1\" }),\n189\t line(\"event_msg\", { type: \"agent_message\", message: \"m2\" }),\n190\t line(\"event_msg\", { type: \"user_message\", message: \"m3\" }),\n191\t line(\"event_msg\", { type: \"agent_message\", message: \"m4\" }),\n192\t ].join(\"\\n\"),\n193\t );\n194\t\n195\t const dbPath = join(base, \"index.sqlite\");\n196\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n197\t\n198\t const page1 = await runCli([\n199\t \"read-page\",\n200\t \"88888888-8888-4888-8888-888888888888\",\n201\t \"--offset\",\n202\t \"0\",\n203\t \"--limit\",\n204\t \"2\",\n205\t \"--json\",\n206\t \"--db\",\n207\t dbPath,\n208\t ]);\n209\t expect(page1.exitCode).toBe(0);\n210\t const payload1 = JSON.parse(page1.stdout) as { totalCount: number; hasMore: boolean };\n211\t expect(payload1.totalCount).toBe(4);\n212\t expect(payload1.hasMore).toBe(true);\n213\t\n214\t const page2 = await runCli([\n215\t \"read-page\",\n216\t \"88888888-8888-4888-8888-888888888888\",\n217\t \"--offset\",\n218\t \"2\",\n219\t \"--limit\",\n220\t \"2\",\n221\t \"--json\",\n222\t \"--db\",\n223\t dbPath,\n224\t ]);\n225\t expect(page2.exitCode).toBe(0);\n226\t const payload2 = JSON.parse(page2.stdout) as { totalCount: number; hasMore: boolean };\n227\t expect(payload2.totalCount).toBe(4);\n228\t expect(payload2.hasMore).toBe(false);\n229\t });\n230\t\n231\t test(\"sync exits non-zero by default when per-file indexing fails\", async () => {\n232\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-sync-\"));\n233\t tempDirs.push(base);\n234\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"22\");\n235\t mkdirSync(sessionsRoot, { recursive: true });\n236\t\n237\t writeFileSync(\n238\t join(sessionsRoot, \"rollout-2026-04-22T12-00-00-99990000-9999-4999-8999-999999999999.jsonl\"),\n239\t [\n240\t line(\"session_meta\", { id: \"99990000-9999-4999-8999-999999999999\", cwd: \"/tmp/good\" }),\n241\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n242\t line(\"event_msg\", { type: \"user_message\", message: \"good session\" }),\n243\t ].join(\"\\n\"),\n244\t );\n245\t\n246\t const badFilePath = join(\n247\t sessionsRoot,\n248\t \"rollout-2026-04-22T13-00-00-88880000-8888-4888-8888-888888888888.jsonl\",\n249\t );\n250\t writeFileSync(\n251\t badFilePath,\n252\t [\n253\t line(\"session_meta\", { id: \"88880000-8888-4888-8888-888888888888\", cwd: \"/tmp/bad\" }),\n254\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n255\t line(\"event_msg\", { type: \"user_message\", message: \"bad session\" }),\n256\t ].join(\"\\n\"),\n257\t );\n258\t chmodSync(badFilePath, 0o000);\n259\t unreadableFiles.push(badFilePath);\n260\t\n261\t const result = await runCli([\n262\t \"sync\",\n263\t \"--root\",\n264\t join(base, \"sessions\"),\n265\t \"--db\",\n266\t join(base, \"index.sqlite\"),\n267\t ]);\n268\t\n269\t expect(result.exitCode).toBe(1);\n270\t expect(result.stdout).toContain(\"errors: 1\");\n271\t expect(result.stdout).toContain(badFilePath);\n272\t });\n273\t});\n274\t\n275\tfunction line(type: string, payload: Record<string, unknown>): string {\n276\t return JSON.stringify({\n277\t timestamp: new Date(\"2026-04-21T00:00:00.000Z\").toISOString(),\n278\t type,\n279\t payload,\n280\t });\n281\t}\n282\t\n283\tasync function runCli(args: string[]): Promise<{ exitCode: number; stdout: string; stderr: string }> {\n284\t const proc = Bun.spawn([process.execPath, \"cli.ts\", ...args], {\n285\t cwd: import.meta.dir,\n286\t stdout: \"pipe\",\n287\t stderr: \"pipe\",\n288\t });\n289\t\n290\t const [stdout, stderr, exitCode] = await Promise.all([\n291\t new Response(proc.stdout).text(),\n292\t new Response(proc.stderr).text(),\n293\t proc.exited,\n294\t ]);\n295\t\n296\t return { exitCode, stdout, stderr };\n297\t}\n298\t"}]},"uuid":"1ef3f53c-8913-4798-9035-71d8185f5fae","timestamp":"2026-04-27T04:07:12.727Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/cli.test.ts","content":"import { afterEach, describe, expect, test } from \"bun:test\";\nimport { Database } from \"bun:sqlite\";\nimport { chmodSync, mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { INDEX_VERSION } from \"./env\";\nimport { syncSessions } from \"./indexer\";\n\nconst tempDirs: string[] = [];\nconst unreadableFiles: string[] = [];\n\nafterEach(() => {\n for (const filePath of unreadableFiles.splice(0)) {\n try {\n chmodSync(filePath, 0o644);\n } catch {\n // ignore cleanup failures for files that already disappeared\n }\n }\n for (const dir of tempDirs.splice(0)) {\n rmSync(dir, { recursive: true, force: true });\n }\n});\n\ndescribe(\"cxs cli\", () => {\n test(\"help only shows current/sync/find/read-range/read-page/list/stats\", async () => {\n const result = await runCli([\"--help\"]);\n expect(result.exitCode).toBe(0);\n expect(result.stdout).toContain(\"current\");\n expect(result.stdout).toContain(\"sync\");\n expect(result.stdout).toContain(\"find\");\n expect(result.stdout).toContain(\"read-range\");\n expect(result.stdout).toContain(\"read-page\");\n expect(result.stdout).toContain(\"list\");\n expect(result.stdout).toContain(\"stats\");\n expect(result.stdout).not.toContain(\"window\");\n expect(result.stdout).not.toContain(\"\\n session \");\n });\n\n test(\"current returns candidate sessions for cwd from state db\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n rollout_path TEXT NOT NULL,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL,\n updated_at_ms INTEGER\n )\n `);\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"aaaa1111-1111-4111-8111-111111111111\", \"/tmp/one.jsonl\", \"/tmp/picc\", \"older\", 100],\n );\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"bbbb2222-2222-4222-8222-222222222222\", \"/tmp/two.jsonl\", \"/tmp/picc\", \"newer\", 200],\n );\n db.close();\n\n const result = await runCli([\n \"current\",\n \"--cwd\",\n \"/tmp/picc\",\n \"--state-db\",\n stateDbPath,\n \"--json\",\n ]);\n expect(result.exitCode).toBe(0);\n const payload = JSON.parse(result.stdout) as {\n cwd: string;\n candidates: Array<{ sessionUuid: string; filePath: string }>;\n };\n expect(payload.cwd).toBe(\"/tmp/picc\");\n expect(payload.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"bbbb2222-2222-4222-8222-222222222222\",\n \"aaaa1111-1111-4111-8111-111111111111\",\n ]);\n expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"find text output points to read-range\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-44444444-4444-4444-8444-444444444444.jsonl\"),\n [\n line(\"session_meta\", { id: \"44444444-4444-4444-8444-444444444444\", cwd: \"/tmp/project-d\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"health check 一直失败\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先看 readback\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const result = await runCli([\"find\", \"health check\", \"--db\", dbPath]);\n expect(result.exitCode).toBe(0);\n expect(result.stdout).toContain(\"next: cxs read-range 44444444-4444-4444-8444-444444444444 --seq 0\");\n expect(result.stdout).not.toContain(\"next: cxs window\");\n });\n\n test(\"list filters by cwd substring and respects sort\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-list-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-55555555-5555-4555-8555-555555555555.jsonl\"),\n [\n line(\"session_meta\", { id: \"55555555-5555-4555-8555-555555555555\", cwd: \"/tmp/alpha-proj\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"alpha one\" }),\n ].join(\"\\n\"),\n );\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T11-00-00-66666666-6666-4666-8666-666666666666.jsonl\"),\n [\n line(\"session_meta\", { id: \"66666666-6666-4666-8666-666666666666\", cwd: \"/tmp/beta-proj\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"beta one\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const listed = await runCli([\"list\", \"--cwd\", \"alpha\", \"--json\", \"--db\", dbPath]);\n expect(listed.exitCode).toBe(0);\n const payload = JSON.parse(listed.stdout) as { results: Array<{ sessionUuid: string }> };\n expect(payload.results).toHaveLength(1);\n expect(payload.results[0]?.sessionUuid).toBe(\"55555555-5555-4555-8555-555555555555\");\n });\n\n test(\"stats reports counts and index_version\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-stats-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-77777777-7777-4777-8777-777777777777.jsonl\"),\n [\n line(\"session_meta\", { id: \"77777777-7777-4777-8777-777777777777\", cwd: \"/tmp/gamma\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"gamma one\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"gamma reply\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const stats = await runCli([\"stats\", \"--json\", \"--db\", dbPath]);\n expect(stats.exitCode).toBe(0);\n const payload = JSON.parse(stats.stdout) as {\n sessionCount: number;\n messageCount: number;\n indexVersion: string;\n topCwds: Array<{ cwd: string; count: number }>;\n };\n expect(payload.sessionCount).toBe(1);\n expect(payload.messageCount).toBe(2);\n expect(payload.indexVersion).toBe(INDEX_VERSION);\n expect(payload.topCwds[0]?.cwd).toBe(\"/tmp/gamma\");\n });\n\n test(\"read-page JSON exposes totalCount and hasMore\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-page-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-88888888-8888-4888-8888-888888888888.jsonl\"),\n [\n line(\"session_meta\", { id: \"88888888-8888-4888-8888-888888888888\", cwd: \"/tmp/pagecheck\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"m1\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"m2\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"m3\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"m4\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const page1 = await runCli([\n \"read-page\",\n \"88888888-8888-4888-8888-888888888888\",\n \"--offset\",\n \"0\",\n \"--limit\",\n \"2\",\n \"--json\",\n \"--db\",\n dbPath,\n ]);\n expect(page1.exitCode).toBe(0);\n const payload1 = JSON.parse(page1.stdout) as { totalCount: number; hasMore: boolean };\n expect(payload1.totalCount).toBe(4);\n expect(payload1.hasMore).toBe(true);\n\n const page2 = await runCli([\n \"read-page\",\n \"88888888-8888-4888-8888-888888888888\",\n \"--offset\",\n \"2\",\n \"--limit\",\n \"2\",\n \"--json\",\n \"--db\",\n dbPath,\n ]);\n expect(page2.exitCode).toBe(0);\n const payload2 = JSON.parse(page2.stdout) as { totalCount: number; hasMore: boolean };\n expect(payload2.totalCount).toBe(4);\n expect(payload2.hasMore).toBe(false);\n });\n\n test(\"sync exits non-zero by default when per-file indexing fails\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-sync-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"22\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-22T12-00-00-99990000-9999-4999-8999-999999999999.jsonl\"),\n [\n line(\"session_meta\", { id: \"99990000-9999-4999-8999-999999999999\", cwd: \"/tmp/good\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"good session\" }),\n ].join(\"\\n\"),\n );\n\n const badFilePath = join(\n sessionsRoot,\n \"rollout-2026-04-22T13-00-00-88880000-8888-4888-8888-888888888888.jsonl\",\n );\n writeFileSync(\n badFilePath,\n [\n line(\"session_meta\", { id: \"88880000-8888-4888-8888-888888888888\", cwd: \"/tmp/bad\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"bad session\" }),\n ].join(\"\\n\"),\n );\n chmodSync(badFilePath, 0o000);\n unreadableFiles.push(badFilePath);\n\n const result = await runCli([\n \"sync\",\n \"--root\",\n join(base, \"sessions\"),\n \"--db\",\n join(base, \"index.sqlite\"),\n ]);\n\n expect(result.exitCode).toBe(1);\n expect(result.stdout).toContain(\"errors: 1\");\n expect(result.stdout).toContain(badFilePath);\n });\n});\n\nfunction line(type: string, payload: Record<string, unknown>): string {\n return JSON.stringify({\n timestamp: new Date(\"2026-04-21T00:00:00.000Z\").toISOString(),\n type,\n payload,\n });\n}\n\nasync function runCli(args: string[]): Promise<{ exitCode: number; stdout: string; stderr: string }> {\n const proc = Bun.spawn([process.execPath, \"cli.ts\", ...args], {\n cwd: import.meta.dir,\n stdout: \"pipe\",\n stderr: \"pipe\",\n });\n\n const [stdout, stderr, exitCode] = await Promise.all([\n new Response(proc.stdout).text(),\n new Response(proc.stderr).text(),\n proc.exited,\n ]);\n\n return { exitCode, stdout, stderr };\n}\n","numLines":298,"startLine":1,"totalLines":298}},"sourceToolAssistantUUID":"439c1636-0f67-4ef9-a69b-70d435387cc1","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 243 243 + {"parentUuid":"1ef3f53c-8913-4798-9035-71d8185f5fae","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01KiwbTFTHb6DMFTDcuFzFwD","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5811,"cache_read_input_tokens":126833,"output_tokens":935,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":5811},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":935,"cache_read_input_tokens":126833,"cache_creation_input_tokens":5811,"cache_creation":{"ephemeral_5m_input_tokens":5811,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"10028428-f075-46da-8ac6-018d533db0d8","timestamp":"2026-04-27T04:07:17.729Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 244 244 + {"parentUuid":"10028428-f075-46da-8ac6-018d533db0d8","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01KiwbTFTHb6DMFTDcuFzFwD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BXkvtSZFc8D69h76ocfzHo","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.test.ts","old_string":" expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"find text output points to read-range\", async () => {","new_string":" expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"current --json emits structured error when state db file is missing\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-missing-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"does-not-exist.sqlite\");\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(stateDbPath);\n });\n\n test(\"current --json emits structured error when state db schema is unexpected\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(\"threads\");\n });\n\n test(\"find text output points to read-range\", async () => {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5811,"cache_read_input_tokens":126833,"output_tokens":935,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":5811},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":935,"cache_read_input_tokens":126833,"cache_creation_input_tokens":5811,"cache_creation":{"ephemeral_5m_input_tokens":5811,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"516a17b2-7945-4906-bb4b-338cb9ff55ae","timestamp":"2026-04-27T04:07:24.279Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 245 245 + {"parentUuid":"516a17b2-7945-4906-bb4b-338cb9ff55ae","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01BXkvtSZFc8D69h76ocfzHo","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"0d512795-895d-4db6-9411-63927facc448","timestamp":"2026-04-27T04:07:24.299Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 246 246 + {"parentUuid":"516a17b2-7945-4906-bb4b-338cb9ff55ae","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BXkvtSZFc8D69h76ocfzHo","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.test.ts has been updated successfully."}]},"uuid":"ec317d2f-c243-4e15-8e28-4b728e2abbfe","timestamp":"2026-04-27T04:07:24.302Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.test.ts","oldString":" expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"find text output points to read-range\", async () => {","newString":" expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"current --json emits structured error when state db file is missing\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-missing-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"does-not-exist.sqlite\");\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(stateDbPath);\n });\n\n test(\"current --json emits structured error when state db schema is unexpected\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(\"threads\");\n });\n\n test(\"find text output points to read-range\", async () => {","originalFile":null,"structuredPatch":[{"oldStart":82,"oldLines":6,"newStart":82,"newLines":37,"lines":[" expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");"," });"," ","+ test(\"current --json emits structured error when state db file is missing\", async () => {","+ const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-missing-\"));","+ tempDirs.push(base);","+ const stateDbPath = join(base, \"does-not-exist.sqlite\");","+","+ const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);","+ expect(result.exitCode).toBe(1);","+ const payload = JSON.parse(result.stdout) as {","+ error: { code: string; message: string };","+ };","+ expect(payload.error.code).toBe(\"state_db_unavailable\");","+ expect(payload.error.message).toContain(stateDbPath);","+ });","+","+ test(\"current --json emits structured error when state db schema is unexpected\", async () => {","+ const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-schema-\"));","+ tempDirs.push(base);","+ const stateDbPath = join(base, \"state.sqlite\");","+ const db = new Database(stateDbPath);","+ db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");","+ db.close();","+","+ const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);","+ expect(result.exitCode).toBe(1);","+ const payload = JSON.parse(result.stdout) as {","+ error: { code: string; message: string };","+ };","+ expect(payload.error.code).toBe(\"state_db_unavailable\");","+ expect(payload.error.message).toContain(\"threads\");","+ });","+"," test(\"find text output points to read-range\", async () => {"," const base = mkdtempSync(join(tmpdir(), \"cxs-cli-\"));"," tempDirs.push(base);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"516a17b2-7945-4906-bb4b-338cb9ff55ae","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 247 247 + {"type":"last-prompt","lastPrompt":"继续推进 先做一个 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252 252 + {"parentUuid":"61c44e2f-7eed-4287-9e33-e4af93f7fe87","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:TaskUpdate","toolUseID":"toolu_01WicGFuki4S7SzfKcQ5XX5D","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"1658d79e-20c4-4cde-b7ed-87546de10843","timestamp":"2026-04-27T04:07:26.797Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 253 253 + {"parentUuid":"61c44e2f-7eed-4287-9e33-e4af93f7fe87","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WicGFuki4S7SzfKcQ5XX5D","type":"tool_result","content":"Updated task #7 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255 255 + {"parentUuid":"8e884936-13ec-471b-8c66-a58a2b3a0f55","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:TaskUpdate","toolUseID":"toolu_01V7e4Qh4xNNatg7ERpLs5h7","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"01e1b9d8-6da1-4e8d-98a4-6cc9a448f872","timestamp":"2026-04-27T04:07:27.247Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 256 256 + {"parentUuid":"8e884936-13ec-471b-8c66-a58a2b3a0f55","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V7e4Qh4xNNatg7ERpLs5h7","type":"tool_result","content":"Updated task #8 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writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { tryRemoveStaleLock } from \"./sync-lock\";\n\nconst tempDirs: string[] = [];\n\nafterEach(() => {\n for (const dir of tempDirs.splice(0)) {\n rmSync(dir, { recursive: true, force: true });\n }\n});\n\ndescribe(\"tryRemoveStaleLock\", () => {\n test(\"removes the lock when it still matches the expected pid+createdAt\", () => {\n const lockPath = makeLockPath();\n const expected = { pid: 4242, createdAt: \"2026-04-27T00:00:00.000Z\" };\n writeFileSync(lockPath, JSON.stringify(expected));\n\n const removed = tryRemoveStaleLock(lockPath, expected);\n\n expect(removed).toBe(true);\n expect(existsSync(lockPath)).toBe(false);\n });\n\n test(\"returns true when the lock file is already gone\", () => {\n const lockPath = makeLockPath();\n const expected = { pid: 4242, createdAt: \"2026-04-27T00:00:00.000Z\" };\n // Lock never existed (cleaned up by another process between our reads).\n\n const removed = tryRemoveStaleLock(lockPath, expected);\n\n expect(removed).toBe(true);\n expect(existsSync(lockPath)).toBe(false);\n });\n\n test(\"leaves a freshly written lock alone when pid changed\", () => {\n const lockPath = makeLockPath();\n const expected = { pid: 4242, createdAt: \"2026-04-27T00:00:00.000Z\" };\n const fresh = { pid: 9999, createdAt: \"2026-04-27T01:00:00.000Z\" };\n writeFileSync(lockPath, JSON.stringify(fresh));\n\n const removed = tryRemoveStaleLock(lockPath, expected);\n\n expect(removed).toBe(false);\n expect(existsSync(lockPath)).toBe(true);\n const onDisk = JSON.parse(readFileSync(lockPath, \"utf8\")) as typeof fresh;\n expect(onDisk).toEqual(fresh);\n });\n\n test(\"leaves a lock alone when only createdAt differs (same-pid retry)\", () => {\n const lockPath = makeLockPath();\n const expected = { pid: 4242, createdAt: \"2026-04-27T00:00:00.000Z\" };\n const refreshed = { pid: 4242, createdAt: \"2026-04-27T00:00:05.000Z\" };\n writeFileSync(lockPath, JSON.stringify(refreshed));\n\n const removed = tryRemoveStaleLock(lockPath, expected);\n\n expect(removed).toBe(false);\n expect(existsSync(lockPath)).toBe(true);\n });\n});\n\nfunction makeLockPath(): string {\n const base = mkdtempSync(join(tmpdir(), \"cxs-lock-\"));\n tempDirs.push(base);\n return join(base, \"index.sqlite.sync.lock\");\n}\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":133625,"output_tokens":1210,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1210,"cache_read_input_tokens":133625,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"a23b1d89-e3c5-4d4b-be4a-22bbcf35079b","timestamp":"2026-04-27T04:07:40.767Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 258 258 + {"parentUuid":"a23b1d89-e3c5-4d4b-be4a-22bbcf35079b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Write","toolUseID":"toolu_0176B8iMrryYJQL3ZzosLZt6","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"83f1b6f6-ac3f-4be1-adc6-694dc7001c4c","timestamp":"2026-04-27T04:07:40.792Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 259 259 + {"parentUuid":"a23b1d89-e3c5-4d4b-be4a-22bbcf35079b","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0176B8iMrryYJQL3ZzosLZt6","type":"tool_result","content":"File created successfully at: /Users/envvar/work/repos/cxs/sync-lock.test.ts"}]},"uuid":"689f4e64-ef31-4f9d-a2e2-5c1965a2dab4","timestamp":"2026-04-27T04:07:40.795Z","toolUseResult":{"type":"create","filePath":"/Users/envvar/work/repos/cxs/sync-lock.test.ts","content":"import { afterEach, describe, expect, test } from \"bun:test\";\nimport { existsSync, mkdtempSync, readFileSync, rmSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { tryRemoveStaleLock } from \"./sync-lock\";\n\nconst tempDirs: string[] = [];\n\nafterEach(() => {\n for (const dir of tempDirs.splice(0)) {\n rmSync(dir, { recursive: true, force: true });\n }\n});\n\ndescribe(\"tryRemoveStaleLock\", () => {\n test(\"removes the lock when it still matches the expected pid+createdAt\", () => {\n const lockPath = makeLockPath();\n const expected = { pid: 4242, createdAt: \"2026-04-27T00:00:00.000Z\" };\n writeFileSync(lockPath, JSON.stringify(expected));\n\n const removed = tryRemoveStaleLock(lockPath, expected);\n\n expect(removed).toBe(true);\n expect(existsSync(lockPath)).toBe(false);\n });\n\n test(\"returns true when the lock file is already gone\", () => {\n const lockPath = makeLockPath();\n const expected = { pid: 4242, createdAt: \"2026-04-27T00:00:00.000Z\" };\n // Lock never existed (cleaned up by another process between our reads).\n\n const removed = tryRemoveStaleLock(lockPath, expected);\n\n expect(removed).toBe(true);\n expect(existsSync(lockPath)).toBe(false);\n });\n\n test(\"leaves a freshly written lock alone when pid changed\", () => {\n const lockPath = makeLockPath();\n const expected = { pid: 4242, createdAt: \"2026-04-27T00:00:00.000Z\" };\n const fresh = { pid: 9999, createdAt: \"2026-04-27T01:00:00.000Z\" };\n writeFileSync(lockPath, JSON.stringify(fresh));\n\n const removed = tryRemoveStaleLock(lockPath, expected);\n\n expect(removed).toBe(false);\n expect(existsSync(lockPath)).toBe(true);\n const onDisk = 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把 `check` 改成 `tsc --noEmit && bun test`","originalFile":"# cxs 代码质量审查报告（2026-04-27）\n\n## 结论\n\n当前 `cxs` 代码质量中上，已经是可接手的小型 CLI 项目；主要风险不在代码结构本身，而在工程化、异常路径和少数边界防御还需要补强。\n\n综合评分：**7.5 / 10**。\n\n## 审查范围\n\n本次审查基于当前工作区状态，而不是 clean `main`。审查覆盖：\n\n- `cli.ts`\n- `parser.ts`\n- `db.ts`\n- `query.ts`\n- `ranking.ts`\n- `indexer.ts`\n- `sync-lock.ts`\n- `types.ts`\n- 测试文件与项目文档\n\n验证命令：\n\n```bash\nbun test\n```\n\n结果：\n\n```text\n30 pass\n0 fail\n109 expect() calls\n```\n\n## 优点\n\n### 1. 项目边界清楚\n\n`cxs` 明确定位为本机 Codex session 日志的渐进式检索 CLI，不把 GUI、watcher、daemon、realtime sync 混进来。\n\n当前主工作流保持为：\n\n```text\nsync -> find -> read-range/read-page\n```\n\n### 2. 模块拆分健康\n\n当前代码地图比较清晰：\n\n- `cli.ts`：CLI 命令面\n- `indexer.ts`：sync 与索引更新\n- `parser.ts`：Codex JSONL 解析与 session summary 生成\n- `db.ts`：SQLite schema、session/message 存取、FTS 表维护\n- `query.ts`：find/list/read-range/read-page/current 查询编排\n- `ranking.ts`：session 级 heuristic rerank\n- `eval/`：manual eval 与 batch compare\n\n这对一个本地 CLI 来说是健康结构。\n\n### 3. 当前改动方向合理\n\n本轮实现方向整体正确：\n\n- 增加 `current` 命令，从 Codex state DB 按 cwd 找候选 session。\n- 增加 session-level recall，把 `title + summary_text + compact_text + reasoning_summary_text` 纳入 `sessions_fts`。\n- 引入 `matchSource = \"session\"` 与 `matchSeq = null` 语义，避免把 summary/compact 伪造成可回读 message。\n- 保持 `messages` 只表示真实可回读 transcript。\n- 增加 sync single-writer lock 与 read busy timeout。\n- 同步更新 README、AGENTS、architecture、roadmap、skill JSON schema 等文档。\n\n尤其值得保留的是：**不把 compact/summary 写成 `seq = -1` 的虚拟 message**。这个设计比把 session-level signal 混入 message stream 更干净。\n\n### 4. 测试覆盖不差\n\n现有测试已经覆盖：\n\n- CLI help/current/find/list/stats/read-page/sync fail\n- parser 对 compacted handoff 与 reasoning summary 的抽取\n- query 的 title-only recall、field weights、compact recall、snippet density、parallel read lock\n- indexer 的 strict/best-effort、writer lock、stale lock\n- eval predicate 语义\n\n## 主要问题与风险\n\n### P0-1：缺少真正的 TypeScript 类型检查\n\n`package.json` 中 `check` 当前只是 `bun test`，没有 `tsc --noEmit`。Bun 可以执行 TypeScript，但不等于有完整类型检查。\n\n当前类型已经开始变复杂，例如：\n\n- `matchSeq: number | null`\n- `matchSource: \"message\" | \"session\"`\n- `FindMatchRole`\n\n建议补：\n\n- `tsconfig.json`\n- `bunx tsc --noEmit`\n- 把 `check` 改成 `tsc --noEmit && bun test`\n\n### P0-2：DB 连接在异常路径上可能泄漏\n\n部分 query 函数当前是：\n\n```ts\nconst db = openReadDb(dbPath);\nconst session = getSessionRecord(db, sessionUuid);\nif (!session) throw new Error(...);\ndb.close();\n```\n\n如果中间 throw，`db.close()` 不会执行。\n\n建议把 query 层所有 open/close 统一改成：\n\n```ts\nconst db = openReadDb(dbPath);\ntry {\n // work\n} finally {\n db.close();\n}\n```\n\n`getCurrentSessions()` 已经采用这种结构，其他函数应对齐。\n\n### P0-3：sync lock stale 清理存在竞争窗口\n\n当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。\n\n### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n\n`current` 直接依赖 `threads` 表和字段：\n\n- `id`\n- `rollout_path`\n- `cwd`\n- `title`\n- `updated_at_ms`\n\n这对当前本机可用，但作为开源 CLI，Codex state DB schema 可能变化。建议：\n\n- 先检查 table/columns 是否存在。\n- schema 不匹配时输出友好错误。\n- `--json` 模式返回结构化 error，而不是 SQLite 原始异常。\n\n## 次级问题\n\n### P1-1：ranking 逻辑开始堆 magic constants\n\n当前 ranking 使用多组启发式权重，例如 title phrase、title term、cwd term、message bump、user bump、session hit、hit count、recency 等。\n\n这对轻量 retrieval CLI 是合理的，但继续堆会变难调。下一步不建议继续盲目加权重，应优先补 manual eval acceptance gate。\n\n### P1-2：mixed match 展示策略需要专门测试\n\n当前展示行优先选择 message hit，避免用户拿到 `matchSeq = null` 后无法 `read-range`。这是合理产品取舍，但可能掩盖真正强的 session-level 命中。\n\n建议增加 mixed case 测试：同一个 session 里同时有强 session-level hit 和弱 message hit 时，确认展示策略符合预期。\n\n### P1-3：缺少真实大库性能基准\n\n现有单元测试较好，但还缺：\n\n- 几千 session 下的 sync/find p95\n- 大型 `sessions_fts` 的 query 噪音评估\n- real-world manual eval regression gate\n\n## 建议优先级\n\n### P0：发前必须做\n\n1. 补 `tsc --noEmit`。\n2. query 层所有 DB open 改成 `try/finally close`。\n3. 修 sync lock 删除 stale lock 的 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{"parentUuid":"73a9bc92-b740-4501-969c-76ecb717a47a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"3c9cfd2e-c4eb-47de-9b6f-36de4ae2cf3c","timestamp":"2026-04-27T04:08:24.403Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 288 288 + {"parentUuid":"3c9cfd2e-c4eb-47de-9b6f-36de4ae2cf3c","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"text","text":"`bun run check` 全绿(tsc + 37 tests)。再跑两个最小 smoke 验证 CLI 错误路径在真实子进程里也对。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"8d41bba3-dac9-4510-95d1-4f8acdbde6f1","timestamp":"2026-04-27T04:08:25.181Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 289 289 + {"parentUuid":"8d41bba3-dac9-4510-95d1-4f8acdbde6f1","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0135j6GaoQYr5G9i7QG4AfBz","name":"Bash","input":{"command":"bun run cxs current --state-db /tmp/cxs-does-not-exist.sqlite --json 2>&1; echo \"---exit: $?---\"","description":"Smoke: missing state db should emit structured json error and exit 1"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","timestamp":"2026-04-27T04:08:26.328Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 290 290 + {"parentUuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_0135j6GaoQYr5G9i7QG4AfBz","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"15f1c3ab-e540-4a3f-9ac8-2e57ec360abb","timestamp":"2026-04-27T04:08:26.358Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 291 291 + {"parentUuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0135j6GaoQYr5G9i7QG4AfBz","type":"tool_result","content":"$ bun run ./cli.ts current --state-db /tmp/cxs-does-not-exist.sqlite --json\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/cxs-does-not-exist.sqlite\"\n }\n}\nerror: script \"cxs\" exited with code 1\n---exit: 1---\n[rerun: b9]","is_error":false}]},"uuid":"8978de2e-719d-4cea-9059-01ad34cbf0fa","timestamp":"2026-04-27T04:08:26.459Z","toolUseResult":{"stdout":"$ bun run ./cli.ts current --state-db /tmp/cxs-does-not-exist.sqlite --json\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/cxs-does-not-exist.sqlite\"\n }\n}\nerror: script \"cxs\" exited with code 1\n---exit: 1---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 292 292 + {"parentUuid":"8978de2e-719d-4cea-9059-01ad34cbf0fa","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TEAX1soyiiCCfr6zrWWLsy","name":"Bash","input":{"command":"bun run cxs --help 2>&1 | head -25","description":"Smoke: CLI help still renders"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","timestamp":"2026-04-27T04:08:26.919Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 293 293 + {"parentUuid":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01TEAX1soyiiCCfr6zrWWLsy","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"28c77e8e-6e2e-496e-8160-1c8eaf695e97","timestamp":"2026-04-27T04:08:26.945Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 294 294 + {"parentUuid":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TEAX1soyiiCCfr6zrWWLsy","type":"tool_result","content":"$ bun run ./cli.ts --help\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n\nOptions:\n -V, --version output the version number\n -h, --help display help for command\n\nCommands:\n current [options] 按 cwd 返回当前候选 session，不做全文检索\n sync [options] 扫描并同步本地 Codex sessions 到 SQLite 索引\n find [options] <query> 搜索相关 session，返回最小必要命中\n read-range [options] <sessionUuid> 围绕命中点读取局部上下文；必须显式传 session_uuid\n read-page [options] <sessionUuid> 顺序分页读取某个 session 的消息\n list [options] 列出已索引的 session（不做全文检索）\n stats [options] 展示索引状态统计\n help [command] display help for command\n[rerun: b10]","is_error":false}]},"uuid":"7883d4e9-d2b7-4eb4-aada-031391c9a26d","timestamp":"2026-04-27T04:08:27.027Z","toolUseResult":{"stdout":"$ bun run ./cli.ts --help\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n\nOptions:\n -V, --version output the version number\n -h, --help display help for command\n\nCommands:\n current [options] 按 cwd 返回当前候选 session，不做全文检索\n sync [options] 扫描并同步本地 Codex sessions 到 SQLite 索引\n find [options] <query> 搜索相关 session，返回最小必要命中\n read-range [options] <sessionUuid> 围绕命中点读取局部上下文；必须显式传 session_uuid\n read-page [options] <sessionUuid> 顺序分页读取某个 session 的消息\n list [options] 列出已索引的 session（不做全文检索）\n stats [options] 展示索引状态统计\n help [command] display help for command","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 295 295 + 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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":755,"cache_read_input_tokens":139652,"output_tokens":6568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":755},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":6568,"cache_read_input_tokens":139652,"cache_creation_input_tokens":755,"cache_creation":{"ephemeral_5m_input_tokens":755,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"8240d672-b422-4291-9428-6743aba3f5eb","timestamp":"2026-04-27T04:13:07.598Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","g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number;\n33\t pass5: number;\n34\t skipped: number;\n35\t}\n36\t\n37\tconst scoreboard: Scoreboard = { total: 0, pass1: 0, pass5: 0, skipped: 0 };\n38\tconst perQuery: Array<{\n39\t id: string;\n40\t query: string;\n41\t category?: string;\n42\t pass1: PassMark;\n43\t pass5: PassMark;\n44\t pass1Predicates: Array<{ label: string; needle: string; matched: boolean }>;\n45\t pass5Predicates: Array<{ label: string; needle: string; matched: boolean }>;\n46\t top1Title: string;\n47\t}> = [];\n48\t\n49\tfor (const [index, item] of queries.entries()) {\n50\t const prefix = String(index + 1).padStart(2, \"0\");\n51\t const findJson = await runCommand([\"./bin/cxs\", \"find\", item.query, \"--limit\", \"5\", \"--json\"]);\n52\t const findText = await runCommand([\"./bin/cxs\", \"find\", item.query, \"--limit\", \"5\"]);\n53\t const findJsonPath = join(outDir, `${prefix}-${item.id}.find.json`);\n54\t const findTxtPath = join(outDir, `${prefix}-${item.id}.find.txt`);\n55\t writeFileSync(findJsonPath, findJson);\n56\t writeFileSync(findTxtPath, findText);\n57\t\n58\t const parsed = JSON.parse(findJson) as FindOutput;\n59\t const top = parsed.results[0];\n60\t\n61\t const eval1 = evaluateManualQuery(item, parsed.results.slice(0, 1));\n62\t const eval5 = evaluateManualQuery(item, parsed.results.slice(0, 5));\n63\t const pass1 = eval1.mark;\n64\t const pass5 = eval5.mark;\n65\t scoreboard.total += 1;\n66\t if (pass1 === \"skip\") scoreboard.skipped += 1;\n67\t if (pass1 === \"pass\") scoreboard.pass1 += 1;\n68\t if (pass5 === \"pass\") scoreboard.pass5 += 1;\n69\t perQuery.push({\n70\t id: item.id,\n71\t query: item.query,\n72\t category: item.category,\n73\t pass1,\n74\t pass5,\n75\t pass1Predicates: eval1.predicateResults,\n76\t pass5Predicates: eval5.predicateResults,\n77\t top1Title: top?.title ?? \"(none)\",\n78\t });\n79\t\n80\t let contextJsonPath = \"\";\n81\t let contextTxtPath = \"\";\n82\t let contextKind = \"\";\n83\t if (top) {\n84\t const contextCommand = buildTopContextCommand(top);\n85\t const contextJson = await runCommand([...contextCommand.args, \"--json\"]);\n86\t const contextText = await runCommand(contextCommand.args);\n87\t contextKind = contextCommand.kind;\n88\t contextJsonPath = join(outDir, `${prefix}-${item.id}.${contextKind}.json`);\n89\t contextTxtPath = join(outDir, `${prefix}-${item.id}.${contextKind}.txt`);\n90\t writeFileSync(contextJsonPath, contextJson);\n91\t writeFileSync(contextTxtPath, contextText);\n92\t }\n93\t\n94\t indexLines.push(`## ${prefix}. ${item.query}`);\n95\t indexLines.push(\"\");\n96\t indexLines.push(`- intent: ${item.intent}`);\n97\t if (item.category) indexLines.push(`- category: ${item.category}`);\n98\t indexLines.push(`- pass@1: ${pass1}`);\n99\t indexLines.push(`- pass@5: ${pass5}`);\n100\t if (eval1.predicateResults.length > 0) {\n101\t indexLines.push(`- pass@1 predicates: ${formatPredicateResults(eval1.predicateResults)}`);\n102\t }\n103\t if (eval5.predicateResults.length > 0) {\n104\t indexLines.push(`- pass@5 predicates: ${formatPredicateResults(eval5.predicateResults)}`);\n105\t }\n106\t indexLines.push(`- find_json: \\`${rel(findJsonPath)}\\``);\n107\t indexLines.push(`- find_txt: \\`${rel(findTxtPath)}\\``);\n108\t if (top) {\n109\t indexLines.push(`- top1_session_uuid: \\`${top.sessionUuid}\\``);\n110\t indexLines.push(`- top1_title: ${top.title}`);\n111\t indexLines.push(`- top1_cwd: ${top.cwd || \"-\"}`);\n112\t indexLines.push(`- top1_match_source: ${top.matchSource}`);\n113\t indexLines.push(`- top1_seq: ${top.matchSeq}`);\n114\t indexLines.push(`- top1_context_kind: ${contextKind}`);\n115\t indexLines.push(`- top1_context_json: \\`${rel(contextJsonPath)}\\``);\n116\t indexLines.push(`- top1_context_txt: \\`${rel(contextTxtPath)}\\``);\n117\t } else {\n118\t indexLines.push(\"- top1: (none)\");\n119\t }\n120\t indexLines.push(\"\");\n121\t}\n122\t\n123\t// Summary block at the top for quick scanning.\n124\tconst summaryLines = [\n125\t `## summary`,\n126\t \"\",\n127\t `- queries: ${scoreboard.total}`,\n128\t `- skipped (no assertion): ${scoreboard.skipped}`,\n129\t `- pass@1: ${scoreboard.pass1} / ${scoreboard.total - scoreboard.skipped}`,\n130\t `- pass@5: ${scoreboard.pass5} / ${scoreboard.total - scoreboard.skipped}`,\n131\t \"\",\n132\t \"| id | category | pass@1 | pass@5 | top1_title |\",\n133\t \"|----|----------|--------|--------|------------|\",\n134\t ...perQuery.map((row) =>\n135\t `| ${row.id} | ${row.category ?? \"\"} | ${row.pass1} | ${row.pass5} | ${row.top1Title.slice(0, 60).replaceAll(\"|\", \"¦\")} |`\n136\t ),\n137\t \"\",\n138\t];\n139\tconst combined = [...indexLines.slice(0, 5), ...summaryLines, ...indexLines.slice(5)];\n140\t\n141\tconst readmePath = join(outDir, \"README.md\");\n142\twriteFileSync(readmePath, combined.join(\"\\n\"));\n143\t\n144\tconst scorecardPath = join(outDir, \"scorecard.json\");\n145\twriteFileSync(scorecardPath, `${JSON.stringify({ scoreboard, perQuery }, null, 2)}\\n`);\n146\t\n147\tconsole.log(JSON.stringify({\n148\t outDir,\n149\t readme: readmePath,\n150\t queryCount: queries.length,\n151\t scoreboard,\n152\t}, null, 2));\n153\t\n154\tfunction rel(path: string): string {\n155\t return path.replace(`${ROOT}/`, \"\");\n156\t}\n157\t\n158\tfunction formatPredicateResults(\n159\t predicateResults: Array<{ label: string; needle: string; matched: boolean }>,\n160\t): string {\n161\t return predicateResults\n162\t .map((predicate) => `${predicate.label}=${predicate.matched ? \"ok\" : \"miss\"}(${predicate.needle})`)\n163\t .join(\", \");\n164\t}\n165\t\n166\tfunction buildTopContextCommand(top: FindResult): { kind: \"read-range\" | \"read-page\"; args: string[] } {\n167\t if (typeof top.matchSeq === \"number\") {\n168\t return {\n169\t kind: \"read-range\",\n170\t args: [\n171\t \"./bin/cxs\",\n172\t \"read-range\",\n173\t top.sessionUuid,\n174\t \"--seq\",\n175\t String(top.matchSeq),\n176\t \"--before\",\n177\t \"2\",\n178\t 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stdout;\n216\t}\n217\t"}]},"uuid":"99f3b6fa-ba7b-4b48-bb53-6dad9a6faada","timestamp":"2026-04-27T04:16:14.667Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/eval/run-manual-eval.ts","content":"#!/usr/bin/env bun\n\nimport { mkdirSync, readFileSync, writeFileSync } from \"node:fs\";\nimport { join, resolve } from \"node:path\";\nimport { evaluateManualQuery, type ManualQuery, type PassMark } from \"./manual-eval-core\";\nimport type { FindResult } from \"../types\";\n\ninterface FindOutput {\n query: string;\n results: FindResult[];\n}\n\nconst ROOT = resolve(import.meta.dir, \"..\");\nconst QUERY_FILE = resolve(import.meta.dir, \"manual-queries.json\");\nconst OUT_BASE = resolve(ROOT, \"data\", \"cxs-eval\");\n\nconst stamp = new Date().toISOString().replace(/[:.]/g, \"-\");\nconst outDir = join(OUT_BASE, stamp);\nmkdirSync(outDir, { recursive: true });\n\nconst queries = JSON.parse(readFileSync(QUERY_FILE, \"utf8\")) as ManualQuery[];\nconst indexLines: string[] = [\n \"# cxs 手动评测批次\",\n \"\",\n `- generated_at: ${new Date().toISOString()}`,\n `- out_dir: \\`${outDir}\\``,\n \"\",\n];\n\ninterface Scoreboard {\n total: number;\n pass1: number;\n pass5: number;\n skipped: number;\n}\n\nconst scoreboard: Scoreboard = { total: 0, pass1: 0, pass5: 0, skipped: 0 };\nconst perQuery: Array<{\n id: string;\n query: string;\n category?: string;\n pass1: PassMark;\n pass5: PassMark;\n pass1Predicates: Array<{ label: string; needle: string; matched: boolean }>;\n pass5Predicates: Array<{ label: string; needle: string; matched: boolean }>;\n top1Title: string;\n}> = [];\n\nfor (const [index, item] of queries.entries()) {\n const prefix = String(index + 1).padStart(2, \"0\");\n const findJson = await runCommand([\"./bin/cxs\", \"find\", item.query, \"--limit\", \"5\", \"--json\"]);\n const findText = await runCommand([\"./bin/cxs\", \"find\", item.query, \"--limit\", \"5\"]);\n const findJsonPath = join(outDir, `${prefix}-${item.id}.find.json`);\n const findTxtPath = join(outDir, `${prefix}-${item.id}.find.txt`);\n writeFileSync(findJsonPath, findJson);\n writeFileSync(findTxtPath, findText);\n\n const parsed = JSON.parse(findJson) as FindOutput;\n const top = parsed.results[0];\n\n const eval1 = evaluateManualQuery(item, parsed.results.slice(0, 1));\n const eval5 = evaluateManualQuery(item, parsed.results.slice(0, 5));\n const pass1 = eval1.mark;\n const pass5 = eval5.mark;\n scoreboard.total += 1;\n if (pass1 === \"skip\") scoreboard.skipped += 1;\n if (pass1 === \"pass\") scoreboard.pass1 += 1;\n if (pass5 === \"pass\") scoreboard.pass5 += 1;\n perQuery.push({\n id: item.id,\n query: item.query,\n category: item.category,\n pass1,\n pass5,\n pass1Predicates: eval1.predicateResults,\n pass5Predicates: eval5.predicateResults,\n top1Title: top?.title ?? \"(none)\",\n });\n\n let contextJsonPath = \"\";\n let contextTxtPath = \"\";\n let contextKind = \"\";\n if (top) {\n const contextCommand = buildTopContextCommand(top);\n const contextJson = await runCommand([...contextCommand.args, \"--json\"]);\n const contextText = await runCommand(contextCommand.args);\n contextKind = contextCommand.kind;\n contextJsonPath = join(outDir, `${prefix}-${item.id}.${contextKind}.json`);\n contextTxtPath = join(outDir, `${prefix}-${item.id}.${contextKind}.txt`);\n writeFileSync(contextJsonPath, contextJson);\n writeFileSync(contextTxtPath, contextText);\n }\n\n indexLines.push(`## ${prefix}. ${item.query}`);\n indexLines.push(\"\");\n indexLines.push(`- intent: ${item.intent}`);\n if (item.category) indexLines.push(`- category: ${item.category}`);\n indexLines.push(`- pass@1: ${pass1}`);\n indexLines.push(`- pass@5: ${pass5}`);\n if (eval1.predicateResults.length > 0) {\n indexLines.push(`- pass@1 predicates: ${formatPredicateResults(eval1.predicateResults)}`);\n }\n if (eval5.predicateResults.length > 0) {\n indexLines.push(`- pass@5 predicates: ${formatPredicateResults(eval5.predicateResults)}`);\n }\n indexLines.push(`- find_json: \\`${rel(findJsonPath)}\\``);\n indexLines.push(`- find_txt: \\`${rel(findTxtPath)}\\``);\n if (top) {\n indexLines.push(`- top1_session_uuid: \\`${top.sessionUuid}\\``);\n indexLines.push(`- top1_title: ${top.title}`);\n indexLines.push(`- top1_cwd: ${top.cwd || \"-\"}`);\n indexLines.push(`- top1_match_source: ${top.matchSource}`);\n indexLines.push(`- top1_seq: ${top.matchSeq}`);\n indexLines.push(`- top1_context_kind: ${contextKind}`);\n indexLines.push(`- top1_context_json: \\`${rel(contextJsonPath)}\\``);\n indexLines.push(`- top1_context_txt: \\`${rel(contextTxtPath)}\\``);\n } else {\n indexLines.push(\"- top1: (none)\");\n }\n indexLines.push(\"\");\n}\n\n// Summary block at the top for quick scanning.\nconst summaryLines = [\n `## summary`,\n \"\",\n `- queries: ${scoreboard.total}`,\n `- skipped (no assertion): ${scoreboard.skipped}`,\n `- pass@1: ${scoreboard.pass1} / ${scoreboard.total - scoreboard.skipped}`,\n `- pass@5: ${scoreboard.pass5} / ${scoreboard.total - scoreboard.skipped}`,\n \"\",\n \"| id | category | pass@1 | pass@5 | top1_title |\",\n \"|----|----------|--------|--------|------------|\",\n ...perQuery.map((row) =>\n `| ${row.id} | ${row.category ?? \"\"} | ${row.pass1} | ${row.pass5} | ${row.top1Title.slice(0, 60).replaceAll(\"|\", \"¦\")} |`\n ),\n \"\",\n];\nconst combined = [...indexLines.slice(0, 5), ...summaryLines, ...indexLines.slice(5)];\n\nconst readmePath = join(outDir, \"README.md\");\nwriteFileSync(readmePath, combined.join(\"\\n\"));\n\nconst scorecardPath = join(outDir, \"scorecard.json\");\nwriteFileSync(scorecardPath, `${JSON.stringify({ scoreboard, perQuery }, null, 2)}\\n`);\n\nconsole.log(JSON.stringify({\n outDir,\n readme: readmePath,\n queryCount: queries.length,\n scoreboard,\n}, null, 2));\n\nfunction rel(path: string): string {\n return path.replace(`${ROOT}/`, \"\");\n}\n\nfunction formatPredicateResults(\n predicateResults: Array<{ label: string; needle: string; matched: boolean }>,\n): string {\n return predicateResults\n .map((predicate) => `${predicate.label}=${predicate.matched ? \"ok\" : \"miss\"}(${predicate.needle})`)\n .join(\", \");\n}\n\nfunction buildTopContextCommand(top: FindResult): { kind: \"read-range\" | \"read-page\"; args: string[] } {\n if (typeof top.matchSeq === \"number\") {\n return {\n kind: \"read-range\",\n args: [\n \"./bin/cxs\",\n \"read-range\",\n top.sessionUuid,\n \"--seq\",\n String(top.matchSeq),\n \"--before\",\n \"2\",\n \"--after\",\n \"2\",\n ],\n };\n }\n\n return {\n kind: \"read-page\",\n args: [\n \"./bin/cxs\",\n \"read-page\",\n top.sessionUuid,\n \"--offset\",\n \"0\",\n \"--limit\",\n \"20\",\n ],\n };\n}\n\nasync function runCommand(args: string[]): Promise<string> {\n const proc = Bun.spawn(args, {\n cwd: ROOT,\n stdout: \"pipe\",\n stderr: \"pipe\",\n });\n\n const [stdout, stderr, exitCode] = await Promise.all([\n new Response(proc.stdout).text(),\n new 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check)\n- 不需要写测试(基准脚本本身),但 tsc 必须过"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1100,"cache_read_input_tokens":155416,"output_tokens":2156,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1100},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":2156,"cache_read_input_tokens":155416,"cache_creation_input_tokens":1100,"cache_creation":{"ephemeral_5m_input_tokens":1100,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"cb2be624-5a9a-44d0-bb0a-cbcd9f76c159","timestamp":"2026-04-27T04:17:14.549Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 370 370 + 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373 373 + {"parentUuid":"5454b8b7-a5b6-4b28-afe5-581f7aa82c92","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"text","text":"3 个 task 已建。并行 spawn 3 个 teammate,每人认领一个。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d43e0a3d-dd36-4303-852c-a9f0d6068eb5","timestamp":"2026-04-27T04:17:25.508Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 374 374 + {"parentUuid":"d43e0a3d-dd36-4303-852c-a9f0d6068eb5","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019havhWt2Wzy3tz6oF9Ncxn","name":"Agent","input":{"description":"P1-1 ranking weights doc","subagent_type":"general-purpose","team_name":"cxs-p1","name":"ranker-doc","run_in_background":true,"prompt":"你是 cxs-p1 team 的成员,name 是 `ranker-doc`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList` 看可用任务,认领 **Task #1** (P1-1: ranking 权重说明文档): `TaskUpdate({taskId:\"1\", owner:\"ranker-doc\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"1\"})` 读完整需求。\n3. 读 `ranking.ts` 全文 + `query.ts` 中 `searchSessionsByFts` 的 `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)` 调用,理解每个权重的实际作用。\n4. 浏览 `docs/ARCHITECTURE.md` 学习风格(中文 markdown、分节、列表)。\n5. 创建 `/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md`。每个权重单独一节,回答:**值是什么 / 为什么是这个量级 / 改动它会影响什么**。重点不是让人查到值,而是让未来的维护者敢/不敢调。\n6. 跑 `bun run check`(在仓库根目录)确认通过。\n7. `TaskUpdate({taskId:\"1\", status:\"completed\"})`。\n8. `SendMessage({to:\"team-lead\", summary:\"P1-1 done\", message:\"P1-1 完成: docs/RANKING_WEIGHTS.md 已写,bun run check ok。<一句话亮点>\"})`。\n\n## 约束\n\n- 只动 `docs/RANKING_WEIGHTS.md` 一个文件。不要改代码。\n- 文档是给 *人*(或 agent 维护者)看的,不是代码注释的搬运 — 要解释 *why*,不要解释 *what*。\n- 不创建额外文档文件(README、index 之类)。\n- 完成后必须发一条 SendMessage 给 team-lead,否则 lead 不知道你完成了。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","timestamp":"2026-04-27T04:17:36.584Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 375 375 + {"parentUuid":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_019havhWt2Wzy3tz6oF9Ncxn","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"3f0aecb9-be86-4b93-8ff3-4f3e6ab825d0","timestamp":"2026-04-27T04:17:36.647Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 376 376 + {"parentUuid":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019havhWt2Wzy3tz6oF9Ncxn","type":"tool_result","content":[{"type":"text","text":"Spawned successfully.\nagent_id: ranker-doc@cxs-p1\nname: ranker-doc\nteam_name: cxs-p1\nThe agent is now running and will receive instructions via mailbox."}]}]},"uuid":"de2fab9c-d47f-4780-9035-fb109c42b7de","timestamp":"2026-04-27T04:17:36.732Z","toolUseResult":{"status":"teammate_spawned","prompt":"你是 cxs-p1 team 的成员,name 是 `ranker-doc`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList` 看可用任务,认领 **Task #1** (P1-1: ranking 权重说明文档): `TaskUpdate({taskId:\"1\", owner:\"ranker-doc\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"1\"})` 读完整需求。\n3. 读 `ranking.ts` 全文 + `query.ts` 中 `searchSessionsByFts` 的 `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)` 调用,理解每个权重的实际作用。\n4. 浏览 `docs/ARCHITECTURE.md` 学习风格(中文 markdown、分节、列表)。\n5. 创建 `/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md`。每个权重单独一节,回答:**值是什么 / 为什么是这个量级 / 改动它会影响什么**。重点不是让人查到值,而是让未来的维护者敢/不敢调。\n6. 跑 `bun run check`(在仓库根目录)确认通过。\n7. `TaskUpdate({taskId:\"1\", status:\"completed\"})`。\n8. `SendMessage({to:\"team-lead\", summary:\"P1-1 done\", message:\"P1-1 完成: docs/RANKING_WEIGHTS.md 已写,bun run check ok。<一句话亮点>\"})`。\n\n## 约束\n\n- 只动 `docs/RANKING_WEIGHTS.md` 一个文件。不要改代码。\n- 文档是给 *人*(或 agent 维护者)看的,不是代码注释的搬运 — 要解释 *why*,不要解释 *what*。\n- 不创建额外文档文件(README、index 之类)。\n- 完成后必须发一条 SendMessage 给 team-lead,否则 lead 不知道你完成了。","teammate_id":"ranker-doc@cxs-p1","agent_id":"ranker-doc@cxs-p1","agent_type":"general-purpose","model":"claude-opus-4-7","name":"ranker-doc","color":"blue","tmux_session_name":"in-process","tmux_window_name":"in-process","tmux_pane_id":"in-process","team_name":"cxs-p1","is_splitpane":false,"plan_mode_required":false},"sourceToolAssistantUUID":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 377 377 + {"parentUuid":"de2fab9c-d47f-4780-9035-fb109c42b7de","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UAa9gESPkTBU5MXMLEKDhB","name":"Agent","input":{"description":"P1-2 mixed match test","subagent_type":"general-purpose","team_name":"cxs-p1","name":"mixed-tester","run_in_background":true,"prompt":"你是 cxs-p1 team 的成员,name 是 `mixed-tester`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #2** (P1-2: mixed match 对照测试): `TaskUpdate({taskId:\"2\", owner:\"mixed-tester\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"2\"})` 读完整需求。\n3. 读以下文件以理解现状:\n - `ranking.ts` 重点看 `shouldUseDisplayRow` (行 148-157) 与 `scoreSession` (行 186-197)。\n - `query.ts` 重点看 `findSessions`、`searchMessageHits`、`searchSessionHits` 如何拼出 raw rows。\n - `query.test.ts` 行 300+ 的 \"session-level fields have explicit ranking weights\" 测试,学组装数据风格(`openWriteDb` + `replaceSession`)。\n4. 在 `query.test.ts` 加新测试,覆盖:\n a) 同 session 同时有 strong session hit + weak message hit → 展示行 `matchSource === \"message\"` 且 `matchSeq` 是 number,但该 session 的 score / 排名压过\"只有 message hit\"的对照 session。\n b) 同 session 只有 session hit → `matchSource === \"session\"`, `matchSeq === null`。\n c) (可选) 同 session 只有 message hit → 自然走 message,作为对照基线。\n5. 跑 `bun test query.test.ts` 看新加测试绿;再跑 `bun run check` 全套通过。\n6. `TaskUpdate({taskId:\"2\", status:\"completed\"})`。\n7. `SendMessage({to:\"team-lead\", summary:\"P1-2 done\", message:\"P1-2 完成: query.test.ts 新增 N 条 mixed match 测试,bun run check ok。<一句话亮点,例如 'displayRow 选择行为已锁定为契约'>\"})`。\n\n## 约束\n\n- 只动 `query.test.ts` 一个文件。不要改 `query.ts` / `ranking.ts` — 这次是用测试 *锁定*现有行为,不是修改它。\n- 测试名要描述行为,不要写 \"test1 / test2\"。\n- 不要 mock — 用现有的 `openWriteDb` + `replaceSession` 真实路径。\n- 完成后必须发 SendMessage 给 team-lead。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"94e9e048-0f6d-4201-b127-adacce57252b","timestamp":"2026-04-27T04:17:48.308Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 378 378 + {"parentUuid":"94e9e048-0f6d-4201-b127-adacce57252b","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_01UAa9gESPkTBU5MXMLEKDhB","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"3537b834-e2c6-49b7-954d-c120710b69a3","timestamp":"2026-04-27T04:17:48.322Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 379 379 + {"parentUuid":"94e9e048-0f6d-4201-b127-adacce57252b","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UAa9gESPkTBU5MXMLEKDhB","type":"tool_result","content":[{"type":"text","text":"Spawned successfully.\nagent_id: mixed-tester@cxs-p1\nname: mixed-tester\nteam_name: cxs-p1\nThe agent is now running and will receive instructions via mailbox."}]}]},"uuid":"fa723a23-22a4-4b3b-9399-f343e789f1b7","timestamp":"2026-04-27T04:17:48.376Z","toolUseResult":{"status":"teammate_spawned","prompt":"你是 cxs-p1 team 的成员,name 是 `mixed-tester`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #2** (P1-2: mixed match 对照测试): `TaskUpdate({taskId:\"2\", owner:\"mixed-tester\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"2\"})` 读完整需求。\n3. 读以下文件以理解现状:\n - `ranking.ts` 重点看 `shouldUseDisplayRow` (行 148-157) 与 `scoreSession` (行 186-197)。\n - `query.ts` 重点看 `findSessions`、`searchMessageHits`、`searchSessionHits` 如何拼出 raw rows。\n - `query.test.ts` 行 300+ 的 \"session-level fields have explicit ranking weights\" 测试,学组装数据风格(`openWriteDb` + `replaceSession`)。\n4. 在 `query.test.ts` 加新测试,覆盖:\n a) 同 session 同时有 strong session hit + weak message hit → 展示行 `matchSource === \"message\"` 且 `matchSeq` 是 number,但该 session 的 score / 排名压过\"只有 message hit\"的对照 session。\n b) 同 session 只有 session hit → `matchSource === \"session\"`, `matchSeq === null`。\n c) (可选) 同 session 只有 message hit → 自然走 message,作为对照基线。\n5. 跑 `bun test query.test.ts` 看新加测试绿;再跑 `bun run check` 全套通过。\n6. `TaskUpdate({taskId:\"2\", status:\"completed\"})`。\n7. `SendMessage({to:\"team-lead\", summary:\"P1-2 done\", message:\"P1-2 完成: query.test.ts 新增 N 条 mixed match 测试,bun run check ok。<一句话亮点,例如 'displayRow 选择行为已锁定为契约'>\"})`。\n\n## 约束\n\n- 只动 `query.test.ts` 一个文件。不要改 `query.ts` / `ranking.ts` — 这次是用测试 *锁定*现有行为,不是修改它。\n- 测试名要描述行为,不要写 \"test1 / test2\"。\n- 不要 mock — 用现有的 `openWriteDb` + `replaceSession` 真实路径。\n- 完成后必须发 SendMessage 给 team-lead。","teammate_id":"mixed-tester@cxs-p1","agent_id":"mixed-tester@cxs-p1","agent_type":"general-purpose","model":"claude-opus-4-7","name":"mixed-tester","color":"green","tmux_session_name":"in-process","tmux_window_name":"in-process","tmux_pane_id":"in-process","team_name":"cxs-p1","is_splitpane":false,"plan_mode_required":false},"sourceToolAssistantUUID":"94e9e048-0f6d-4201-b127-adacce57252b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 380 380 + {"parentUuid":"fa723a23-22a4-4b3b-9399-f343e789f1b7","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Lf2Cx6pVngz4Vwc3sNsFme","name":"Agent","input":{"description":"P1-3 perf bench script","subagent_type":"general-purpose","team_name":"cxs-p1","name":"perf-bencher","run_in_background":true,"prompt":"你是 cxs-p1 team 的成员,name 是 `perf-bencher`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 背景\n\n本机 `~/.codex/sessions` 已有约 3110 个 jsonl session,可直接用作真实大库基准数据。不要合成 mock 数据。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #3** (P1-3: 真实大库性能基准): `TaskUpdate({taskId:\"3\", owner:\"perf-bencher\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"3\"})` 读完整需求(尤其是输出 JSON+MD 双格式、5 次 run、丢弃 warmup 取后 4 次 p50/p95、stdout 打 JSON summary 这些细节)。\n3. 读 `eval/run-manual-eval.ts` 全文学风格(子进程 spawn `./bin/cxs`、`mkdirSync`、`data/<...>` 输出布局、stdout JSON summary 的格式)。\n4. 读 `eval/manual-queries.json` 取代表性 query;如果不合适做基准(例如太长/太冷僻),可硬编码 5-8 个混合中英文 + 单/多 token 的 query。在脚本顶部用常量声明,加注释说明为什么选这些。\n5. 创建 `/Users/envvar/work/repos/cxs/eval/perf-bench.ts`,实现:\n - 入参: `--root` (默认 `~/.codex/sessions`,用 `os.homedir()` 解析,不要硬编码用户路径)、`--db` (默认 tmp 路径,用 `os.tmpdir()`)、`--json-only` (可选,只打 stdout 不写文件)。\n - 跑 sync: 用 `Bun.spawn` 调 `./bin/cxs sync --db <db> --root <root> --json`,记 `performance.now()` 前后,取耗时;解析输出 JSON 拿 `processed`/sessionCount。\n - 跑 find: 每个 query 跑 5 次,丢弃第 1 次(warmup),后 4 次取 p50 (median) / p95(简化:取最大值,4 个样本 p95 没意义可以解释清楚)。\n - 跑 stats: `cxs stats --db <db> --json`,拿 `dbSizeBytes`。\n - 输出: `data/cxs-perf/<ISO timestamp 去冒号>/report.json` + `report.md`(后者人类可读,数字对齐)。\n - stdout 打一个 JSON summary,字段:`outDir, sessionCount, syncMs, dbSizeBytes, queryCount, slowestQuery: {query, p95Ms}`。\n6. package.json 加 `\"eval:perf\": \"bun run ./eval/perf-bench.ts\"` 到 scripts(放 `eval:manual` 旁)。\n7. 实跑一次: `bun run eval:perf`(用默认 root 和 tmp db)。\n - 如果 sync 报错或耗时 > 5 分钟,不要重试,把 stderr 拿回来报告给 lead — 可能要调整。\n - 跑成功后从 stdout 取 sessionCount / syncMs / slowestQuery 三个数字。\n8. 跑 `bun run check` 确认 type check + 现有测试不受影响。\n9. `TaskUpdate({taskId:\"3\", status:\"completed\"})`。\n10. `SendMessage({to:\"team-lead\", summary:\"P1-3 done\", message:\"P1-3 完成: eval/perf-bench.ts 已建,实跑数据 sessionCount=X, syncMs=Y, slowestQuery '<...>' p95=Z ms。bun run check ok。\"})`。\n\n## 约束\n\n- 只动 `eval/perf-bench.ts` (新建) 和 `package.json`(加一行 script)。\n- **不要**新增 npm 依赖,纯 stdlib + bun。\n- **不要**改 cxs 核心代码(cli.ts/query.ts/db.ts/ranking.ts)。\n- **不要**自动 commit。\n- 输出目录 `data/cxs-perf/` 应该被现有 `.gitignore` 覆盖(`data/` 已在 ignore),不需新增 ignore 规则,但请确认。\n- 完成后必须发 SendMessage 给 team-lead 报告三个关键数字。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","timestamp":"2026-04-27T04:18:09.972Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 381 381 + {"type":"last-prompt","lastPrompt":"开一个 team 来推进实现的工作","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 382 382 + {"type":"custom-title","customTitle":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 383 383 + {"type":"agent-name","agentName":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 384 384 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 385 385 + {"parentUuid":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_01Lf2Cx6pVngz4Vwc3sNsFme","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"182420b1-da55-4588-b136-26909cd52db1","timestamp":"2026-04-27T04:18:09.994Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 386 386 + {"parentUuid":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lf2Cx6pVngz4Vwc3sNsFme","type":"tool_result","content":[{"type":"text","text":"Spawned successfully.\nagent_id: perf-bencher@cxs-p1\nname: perf-bencher\nteam_name: cxs-p1\nThe agent is now running and will receive instructions via mailbox."}]}]},"uuid":"b50042dd-45a0-49da-b968-17add872c8b0","timestamp":"2026-04-27T04:18:10.085Z","toolUseResult":{"status":"teammate_spawned","prompt":"你是 cxs-p1 team 的成员,name 是 `perf-bencher`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 背景\n\n本机 `~/.codex/sessions` 已有约 3110 个 jsonl session,可直接用作真实大库基准数据。不要合成 mock 数据。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #3** (P1-3: 真实大库性能基准): `TaskUpdate({taskId:\"3\", owner:\"perf-bencher\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"3\"})` 读完整需求(尤其是输出 JSON+MD 双格式、5 次 run、丢弃 warmup 取后 4 次 p50/p95、stdout 打 JSON summary 这些细节)。\n3. 读 `eval/run-manual-eval.ts` 全文学风格(子进程 spawn `./bin/cxs`、`mkdirSync`、`data/<...>` 输出布局、stdout JSON summary 的格式)。\n4. 读 `eval/manual-queries.json` 取代表性 query;如果不合适做基准(例如太长/太冷僻),可硬编码 5-8 个混合中英文 + 单/多 token 的 query。在脚本顶部用常量声明,加注释说明为什么选这些。\n5. 创建 `/Users/envvar/work/repos/cxs/eval/perf-bench.ts`,实现:\n - 入参: `--root` (默认 `~/.codex/sessions`,用 `os.homedir()` 解析,不要硬编码用户路径)、`--db` (默认 tmp 路径,用 `os.tmpdir()`)、`--json-only` (可选,只打 stdout 不写文件)。\n - 跑 sync: 用 `Bun.spawn` 调 `./bin/cxs sync --db <db> --root <root> --json`,记 `performance.now()` 前后,取耗时;解析输出 JSON 拿 `processed`/sessionCount。\n - 跑 find: 每个 query 跑 5 次,丢弃第 1 次(warmup),后 4 次取 p50 (median) / p95(简化:取最大值,4 个样本 p95 没意义可以解释清楚)。\n - 跑 stats: `cxs stats --db <db> --json`,拿 `dbSizeBytes`。\n - 输出: `data/cxs-perf/<ISO timestamp 去冒号>/report.json` + `report.md`(后者人类可读,数字对齐)。\n - stdout 打一个 JSON summary,字段:`outDir, sessionCount, syncMs, dbSizeBytes, queryCount, slowestQuery: {query, p95Ms}`。\n6. package.json 加 `\"eval:perf\": \"bun run ./eval/perf-bench.ts\"` 到 scripts(放 `eval:manual` 旁)。\n7. 实跑一次: `bun run eval:perf`(用默认 root 和 tmp db)。\n - 如果 sync 报错或耗时 > 5 分钟,不要重试,把 stderr 拿回来报告给 lead — 可能要调整。\n - 跑成功后从 stdout 取 sessionCount / syncMs / slowestQuery 三个数字。\n8. 跑 `bun run check` 确认 type check + 现有测试不受影响。\n9. `TaskUpdate({taskId:\"3\", status:\"completed\"})`。\n10. `SendMessage({to:\"team-lead\", summary:\"P1-3 done\", message:\"P1-3 完成: eval/perf-bench.ts 已建,实跑数据 sessionCount=X, syncMs=Y, slowestQuery '<...>' p95=Z ms。bun run check ok。\"})`。\n\n## 约束\n\n- 只动 `eval/perf-bench.ts` (新建) 和 `package.json`(加一行 script)。\n- **不要**新增 npm 依赖,纯 stdlib + bun。\n- **不要**改 cxs 核心代码(cli.ts/query.ts/db.ts/ranking.ts)。\n- **不要**自动 commit。\n- 输出目录 `data/cxs-perf/` 应该被现有 `.gitignore` 覆盖(`data/` 已在 ignore),不需新增 ignore 规则,但请确认。\n- 完成后必须发 SendMessage 给 team-lead 报告三个关键数字。","teammate_id":"perf-bencher@cxs-p1","agent_id":"perf-bencher@cxs-p1","agent_type":"general-purpose","model":"claude-opus-4-7","name":"perf-bencher","color":"yellow","tmux_session_name":"in-process","tmux_window_name":"in-process","tmux_pane_id":"in-process","team_name":"cxs-p1","is_splitpane":false,"plan_mode_required":false},"sourceToolAssistantUUID":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 387 387 + {"parentUuid":"b50042dd-45a0-49da-b968-17add872c8b0","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_01N9ALqvWKLG8M2hhy23ThL2","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4457,"cache_read_input_tokens":158845,"output_tokens":332,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4457},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":332,"cache_read_input_tokens":158845,"cache_creation_input_tokens":4457,"cache_creation":{"ephemeral_5m_input_tokens":4457,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"9bf69e52-adcd-4876-bc79-f5cfc90a3770","timestamp":"2026-04-27T04:18:14.379Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 388 388 + {"parentUuid":"9bf69e52-adcd-4876-bc79-f5cfc90a3770","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_01N9ALqvWKLG8M2hhy23ThL2","type":"message","role":"assistant","content":[{"type":"text","text":"3 个 teammate 已并行起跑:\n\n| Teammate | 任务 | 主战场 |\n|----------|------|--------|\n| `ranker-doc` | P1-1 | `docs/RANKING_WEIGHTS.md` |\n| `mixed-tester` | P1-2 | `query.test.ts` |\n| `perf-bencher` | P1-3 | `eval/perf-bench.ts` + 实跑 3110 真实 session |\n\n每人完工后会发消息回来,我会汇总。`perf-bencher` 那条要跑真实 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\"./db\";\n9\timport { INDEX_VERSION } from \"./env\";\n10\timport { syncSessions } from \"./indexer\";\n11\timport {\n12\t classifyQueryProfile,\n13\t CurrentStateDbError,\n14\t findSessions,\n15\t getCurrentSessions,\n16\t getMessagePage,\n17\t getMessageRange,\n18\t} from \"./query\";\n19\t\n20\tconst tempDirs: string[] = [];\n21\t\n22\tafterEach(() => {\n23\t for (const dir of tempDirs.splice(0)) {\n24\t rmSync(dir, { recursive: true, force: true });\n25\t }\n26\t});\n27\t\n28\tdescribe(\"cxs retrieval flow\", () => {\n29\t test(\"current returns latest thread candidates for cwd from Codex state db\", () => {\n30\t const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n31\t tempDirs.push(base);\n32\t const stateDbPath = join(base, \"state.sqlite\");\n33\t const db = new Database(stateDbPath);\n34\t db.run(`\n35\t CREATE TABLE threads (\n36\t id TEXT PRIMARY KEY,\n37\t rollout_path TEXT NOT NULL,\n38\t cwd TEXT NOT NULL,\n39\t title TEXT NOT NULL,\n40\t updated_at_ms INTEGER\n41\t )\n42\t `);\n43\t db.run(\n44\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n45\t [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"older\", 100],\n46\t );\n47\t db.run(\n48\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n49\t [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"newer\", 200],\n50\t );\n51\t db.run(\n52\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n53\t [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other\", 300],\n54\t );\n55\t db.close();\n56\t\n57\t const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n58\t expect(result.cwd).toBe(\"/tmp/project\");\n59\t expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n60\t \"22222222-2222-4222-8222-222222222222\",\n61\t \"11111111-1111-4111-8111-111111111111\",\n62\t ]);\n63\t expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n64\t });\n65\t\n66\t test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n67\t const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n68\t tempDirs.push(base);\n69\t const stateDbPath = join(base, \"state.sqlite\");\n70\t const db = new Database(stateDbPath);\n71\t db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n72\t db.close();\n73\t\n74\t let caught: unknown = null;\n75\t try {\n76\t getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n77\t } catch (error) {\n78\t caught = error;\n79\t }\n80\t expect(caught).toBeInstanceOf(CurrentStateDbError);\n81\t expect((caught as Error).message).toContain(\"threads\");\n82\t });\n83\t\n84\t test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {\n85\t const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n86\t tempDirs.push(base);\n87\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n88\t mkdirSync(sessionsRoot, { recursive: true });\n89\t\n90\t writeFileSync(\n91\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-11111111-1111-4111-8111-111111111111.jsonl\"),\n92\t [\n93\t line(\"session_meta\", { id: \"11111111-1111-4111-8111-111111111111\", cwd: \"/tmp/project-a\" }),\n94\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n95\t line(\"event_msg\", { type: \"user_message\", message: \"排查 fly deploy 失败\" }),\n96\t line(\"event_msg\", { type: \"agent_message\", message: \"先看 health check 和 readback\" }),\n97\t line(\"event_msg\", { type: \"user_message\", message: \"health check 还是 500\" }),\n98\t line(\"event_msg\", { type: \"agent_message\", message: \"继续检查 secrets readback\" }),\n99\t ].join(\"\\n\"),\n100\t );\n101\t\n102\t writeFileSync(\n103\t join(sessionsRoot, \"rollout-2026-04-21T11-00-00-22222222-2222-4222-8222-222222222222.jsonl\"),\n104\t [\n105\t line(\"session_meta\", { id: \"22222222-2222-4222-8222-222222222222\", cwd: \"/tmp/project-b\" }),\n106\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n107\t line(\"event_msg\", { type: \"user_message\", message: \"重构 markdown parser\" }),\n108\t line(\"event_msg\", { type: \"agent_message\", message: \"先补失败测试\" }),\n109\t ].join(\"\\n\"),\n110\t );\n111\t\n112\t const dbPath = join(base, \"index.sqlite\");\n113\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n114\t\n115\t expect(summary.added).toBe(2);\n116\t\n117\t const found = findSessions(dbPath, \"health check\", 5);\n118\t expect(found.results).toHaveLength(1);\n119\t expect(found.results[0]?.sessionUuid).toBe(\"11111111-1111-4111-8111-111111111111\");\n120\t expect(found.results[0]?.matchSeq).toBe(2);\n121\t\n122\t const range = getMessageRange(dbPath, \"11111111-1111-4111-8111-111111111111\", {\n123\t seq: 2,\n124\t before: 1,\n125\t after: 1,\n126\t });\n127\t expect(range.anchorSeq).toBe(2);\n128\t expect(range.messages.map((message) => message.seq)).toEqual([1, 2, 3]);\n129\t\n130\t const page = getMessagePage(dbPath, \"11111111-1111-4111-8111-111111111111\", 2, 2);\n131\t expect(page.messages.map((message) => message.seq)).toEqual([2, 3]);\n132\t });\n133\t\n134\t test(\"read-range can relocate anchor by query within a session\", async () => {\n135\t const base = mkdtempSync(join(tmpdir(), \"cxs-query-\"));\n136\t tempDirs.push(base);\n137\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n138\t mkdirSync(sessionsRoot, { recursive: true });\n139\t\n140\t writeFileSync(\n141\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-33333333-3333-4333-8333-333333333333.jsonl\"),\n142\t [\n143\t line(\"session_meta\", { id: \"33333333-3333-4333-8333-333333333333\", cwd: \"/tmp/project-c\" }),\n144\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n145\t line(\"event_msg\", { type: \"user_message\", message: \"先做回滚预案\" }),\n146\t line(\"event_msg\", { type: \"agent_message\", message: \"health check 先确认 500 触发点\" }),\n147\t line(\"event_msg\", { type: \"agent_message\", message: \"然后看 readback\" }),\n148\t ].join(\"\\n\"),\n149\t );\n150\t\n151\t const dbPath = join(base, \"index.sqlite\");\n152\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n153\t expect(summary.added).toBe(1);\n154\t\n155\t const range = getMessageRange(dbPath, \"33333333-3333-4333-8333-333333333333\", {\n156\t query: \"health check\",\n157\t before: 0,\n158\t after: 1,\n159\t });\n160\t\n161\t expect(range.anchorSeq).toBe(1);\n162\t expect(range.rangeStartSeq).toBe(1);\n163\t expect(range.rangeEndSeq).toBe(2);\n164\t expect(range.messages.map((message) => message.seq)).toEqual([1, 2]);\n165\t });\n166\t\n167\t test(\"session title hit outranks broad incidental mentions\", async () => {\n168\t const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\n169\t tempDirs.push(base);\n170\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n171\t mkdirSync(sessionsRoot, { recursive: true });\n172\t\n173\t writeFileSync(\n174\t join(sessionsRoot, \"rollout-2026-04-21T09-00-00-aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa.jsonl\"),\n175\t [\n176\t line(\"session_meta\", { id: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n177\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n178\t line(\"event_msg\", { type: \"user_message\", message: \"同步新 Mac 配置\" }),\n179\t line(\"event_msg\", { type: \"agent_message\", message: \"先确认 Hammerspoon 进程在不在\" }),\n180\t line(\"event_msg\", { type: \"agent_message\", message: \"Hammerspoon 路径已经对了\" }),\n181\t line(\"event_msg\", { type: \"agent_message\", message: \"如果 Hammerspoon console 没报错就继续\" }),\n182\t ].join(\"\\n\"),\n183\t );\n184\t\n185\t writeFileSync(\n\n... 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确保三人改动合在一起没冲突。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1117,"cache_read_input_tokens":172288,"output_tokens":1028,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1117},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1028,"cache_read_input_tokens":172288,"cache_creation_input_tokens":1117,"cache_creation":{"ephemeral_5m_input_tokens":1117,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"4fae2b89-023d-4a2d-9aa2-6255aee160a7","timestamp":"2026-04-27T04:21:52.024Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 452 452 + 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{"parentUuid":"a80ddc5f-e682-4940-bdc9-8511112a80ab","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01KBzt3WxyzeYKDUiNrY5S51","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"28267f02-6782-4926-bd8f-b5a6faa80e99","timestamp":"2026-04-27T04:21:53.179Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 454 454 + {"parentUuid":"a80ddc5f-e682-4940-bdc9-8511112a80ab","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KBzt3WxyzeYKDUiNrY5S51","type":"tool_result","content":"$ tsc --noEmit && bun test\nbun test v1.3.11 (af24e281)\n\n 40 pass\n 0 fail\n 139 expect() calls\nRan 40 tests across 7 files. [1.63s]\n---report.md---\n# cxs 性能基准报告\n\n- generated_at: 2026-04-27T04:21:08.520Z\n- root: `/Users/envvar/.codex/sessions`\n- db: `/var/folders/vn/4x0ljfzs2bjff2j7w_m60__h0000gn/T/cxs-perf-1777263589915.db`\n- session_count: 2867\n- sync_ms: 75001.0\n- db_size: 239.9 MB (251527168 bytes)\n\n## per-query find latency\n\n运行配置: 每个 query 5 次,丢弃首次 warmup,统计后 4 次。\n\n| query | runs | p50 ms | p95 ms | samples (incl. warmup) ms |\n|-------|-----:|-------:|-------:|---------------------------|\n| `hammerspoon` | 4 | 88.0 | 89.0 | 99.3, 89.0, 88.1, 87.9, 85.9 |\n| `envchain` | 4 | 84.4 | 86.1 | 85.5, 83.7, 84.7, 84.1, 86.1 |\n| `sb` | 4 | 86.9 | 87.5 | 90.1, 87.5, 87.3, 86.4, 85.7 |\n| `fly deploy` | 4 | 84.8 | 86.7 | 84.5, 84.3, 85.3, 86.7, 83.8 |\n| `edge tts` | 4 | 181.5 | 190.1 | 173.6, 178.0, 179.6, 183.4, 190.1 |\n| `豆包输入法` | 4 | 86.0 | 90.8 | 91.4, 90.8, 87.2, 84.8, 83.3 |\n| `部署 health check` | 4 | 85.6 | 87.9 | 85.9, 81.4, 83.5, 87.6, 87.9 |\n\n> 注: 4 个有效样本下 p95 取最大值作为 worst-case 近似,统计意义有限。\n[rerun: b8]","is_error":false}]},"uuid":"6bf7b018-1e91-41ea-aa88-0e7587193df0","timestamp":"2026-04-27T04:21:55.385Z","toolUseResult":{"stdout":"$ tsc --noEmit && bun test\nbun test v1.3.11 (af24e281)\n\n 40 pass\n 0 fail\n 139 expect() calls\nRan 40 tests across 7 files. [1.63s]\n---report.md---\n# cxs 性能基准报告\n\n- generated_at: 2026-04-27T04:21:08.520Z\n- root: `/Users/envvar/.codex/sessions`\n- db: `/var/folders/vn/4x0ljfzs2bjff2j7w_m60__h0000gn/T/cxs-perf-1777263589915.db`\n- session_count: 2867\n- sync_ms: 75001.0\n- db_size: 239.9 MB (251527168 bytes)\n\n## per-query find latency\n\n运行配置: 每个 query 5 次,丢弃首次 warmup,统计后 4 次。\n\n| query | runs | p50 ms | p95 ms | samples (incl. warmup) ms |\n|-------|-----:|-------:|-------:|---------------------------|\n| `hammerspoon` | 4 | 88.0 | 89.0 | 99.3, 89.0, 88.1, 87.9, 85.9 |\n| `envchain` | 4 | 84.4 | 86.1 | 85.5, 83.7, 84.7, 84.1, 86.1 |\n| `sb` | 4 | 86.9 | 87.5 | 90.1, 87.5, 87.3, 86.4, 85.7 |\n| `fly deploy` | 4 | 84.8 | 86.7 | 84.5, 84.3, 85.3, 86.7, 83.8 |\n| `edge tts` | 4 | 181.5 | 190.1 | 173.6, 178.0, 179.6, 183.4, 190.1 |\n| `豆包输入法` | 4 | 86.0 | 90.8 | 91.4, 90.8, 87.2, 84.8, 83.3 |\n| `部署 health check` | 4 | 85.6 | 87.9 | 85.9, 81.4, 83.5, 87.6, 87.9 |\n\n> 注: 4 个有效样本下 p95 取最大值作为 worst-case 近似,统计意义有限。","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a80ddc5f-e682-4940-bdc9-8511112a80ab","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 455 455 + 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456 456 + {"parentUuid":"e27b0fc8-328f-45f2-b51d-fed7da6b66d1","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_01Ww4c1eckHiyhh5YbLgvycy","type":"message","role":"assistant","content":[{"type":"text","text":"`bun run check` 全 40 tests 过。三人产出都收口。汇总:\n\n## P1 三任务并行完成\n\n| 任务 | Teammate | 产出 | 关键数据 |\n|------|----------|------|----------|\n| **P1-1** ranking 权重说明 | `ranker-doc` | `docs/RANKING_WEIGHTS.md` 234 行 | 5 层组织 + 调权 checklist,涵盖 SQL 列权重 / row signal / session signal / recency / display rule |\n| **P1-2** mixed match 测试 | `mixed-tester` | `query.test.ts` +177 行,3 条新测试 | mixed/session-only/message-only 三场景全锁,验证\"session signal 提排名 + message signal 给定位\"双轨契约 |\n| **P1-3** 真实大库基准 | `perf-bencher` | `eval/perf-bench.ts` + `package.json` 新 script + `data/cxs-perf/<ts>/report.{json,md}` | 2867 session / sync 75s / db 240 MB / 单 token query p95 ≈ 86-90ms / 双 token \"edge tts\" p95 ≈ 190ms |\n\n**关键观察**:`edge tts` 双 token 比单 token 慢一倍多,可能是 FTS AND-match 在 2867 session 索引上的预期成本,但值得在后续 P2 阶段(若做 reranker)留意是否能用 phrase pre-filter 拉低。\n\n**git status** 现状:\n```\n M package.json (eval:perf script)\n M query.test.ts (P1-2 测试)\n?? docs/RANKING_WEIGHTS.md (P1-1)\n?? eval/perf-bench.ts (P1-3)\n```\n\n完整 `bun run check`(tsc + 40 tests)绿。\n\n下一步要不要我:(a) 把 P1 三条按 focused commits 提(P1-1 / P1-2 / P1-3 分三个)、(b) 一并打到一个 P1 commit、(c) 先 shutdown team 再问、还是 (d) 别的?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1765,"cache_read_input_tokens":173405,"output_tokens":1230,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1765},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1230,"cache_read_input_tokens":173405,"cache_creation_input_tokens":1765,"cache_creation":{"ephemeral_5m_input_tokens":1765,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d28dd505-7bb3-40b1-9f17-f3967ccb8f80","timestamp":"2026-04-27T04:22:17.924Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 457 457 + {"parentUuid":"d28dd505-7bb3-40b1-9f17-f3967ccb8f80","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"Stop","toolUseID":"51455ca5-2315-4220-b8d2-6e89a258164e","hookEvent":"Stop","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"b7cd132d-b231-49c7-8ae4-182a09c261aa","timestamp":"2026-04-27T04:22:18.008Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 458 458 + {"parentUuid":"b7cd132d-b231-49c7-8ae4-182a09c261aa","isSidechain":false,"teamName":"cxs-p1","type":"system","subtype":"stop_hook_summary","hookCount":2,"hookInfos":[{"command":"entire hooks claude-code 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