fishmaner.bsky.social / cxs
cxs is a local-first CLI for searching Codex session logs. It is designed for progressive retrieval: find the right session first, then read
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Checkpoint: 059017285930

Entire-Session: 0205c615-f243-47fd-b810-21d5ee2671b3
Entire-Strategy: manual-commit
Entire-Agent: Claude Code
Ephemeral-branch: entire/301b420-e3b0c4

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05/9017285930/0/full.jsonl
··· 1 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 2 + {"parentUuid":null,"isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"f6150518-e81e-491b-aabf-007b92c1c42f","hookEvent":"SessionStart","content":"","stdout":"{\"systemMessage\":\"\\n\\nPowered by Entire:\\n This conversation will be linked to your next commit.\"}\n","stderr":"","exitCode":0,"command":"entire hooks claude-code session-start","durationMs":179},"type":"attachment","uuid":"ddffead7-f9d9-4f94-9b99-c9fd4f5c7ee1","timestamp":"2026-04-27T03:55:07.741Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 3 + {"parentUuid":"ddffead7-f9d9-4f94-9b99-c9fd4f5c7ee1","isSidechain":false,"attachment":{"type":"hook_system_message","content":"\n\nPowered by Entire:\n This conversation will be linked to your next commit.","hookName":"SessionStart:startup","toolUseID":"f6150518-e81e-491b-aabf-007b92c1c42f","hookEvent":"SessionStart"},"type":"attachment","uuid":"42a8a6f0-74c1-47eb-8a79-4cab08a30984","timestamp":"2026-04-27T03:55:07.741Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 4 + {"parentUuid":"42a8a6f0-74c1-47eb-8a79-4cab08a30984","isSidechain":false,"promptId":"5ad380f8-f058-4f48-b7ef-64f37275bf8c","type":"user","message":{"role":"user","content":"<local-command-caveat>Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to.</local-command-caveat>"},"isMeta":true,"uuid":"942c431d-94a9-4190-8414-96d5cb895d16","timestamp":"2026-04-27T03:55:14.561Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 5 + {"parentUuid":"942c431d-94a9-4190-8414-96d5cb895d16","isSidechain":false,"promptId":"5ad380f8-f058-4f48-b7ef-64f37275bf8c","type":"user","message":{"role":"user","content":"<command-name>/effort</command-name>\n <command-message>effort</command-message>\n <command-args>max</command-args>"},"uuid":"2e63e56a-e14c-4ce9-a31f-a1dbce17d5b3","timestamp":"2026-04-27T03:55:14.553Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 6 + {"parentUuid":"2e63e56a-e14c-4ce9-a31f-a1dbce17d5b3","isSidechain":false,"promptId":"5ad380f8-f058-4f48-b7ef-64f37275bf8c","type":"user","message":{"role":"user","content":"<local-command-stdout>Set effort level to max (this session only): Maximum capability with deepest reasoning</local-command-stdout>"},"uuid":"8170b6c4-152f-4605-9c8d-55a58490863b","timestamp":"2026-04-27T03:55:14.553Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 7 + {"parentUuid":"8170b6c4-152f-4605-9c8d-55a58490863b","isSidechain":false,"promptId":"26a53c39-f922-4d6c-a4e1-ab3d2929d86a","type":"user","message":{"role":"user","content":"@docs/CODE_QUALITY_REVIEW_2026-04-27.md review 下这个报告 是否属实"},"uuid":"8e5f53d0-825d-4ea8-80fb-53eed5a9e2a8","timestamp":"2026-04-27T03:55:40.878Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 8 + {"parentUuid":"8e5f53d0-825d-4ea8-80fb-53eed5a9e2a8","isSidechain":false,"attachment":{"type":"file","filename":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","content":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","content":"# 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 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` 当前已经不是玩具脚本，结构、测试和文档同步意识都比较像一个正经小型 CLI。下一阶段最值得投入的是类型检查、异常路径资源释放、lock race 和 state DB schema 防御，而不是继续堆检索权重。\n","numLines":201,"startLine":1,"totalLines":201}},"displayPath":"docs/CODE_QUALITY_REVIEW_2026-04-27.md"},"type":"attachment","uuid":"4507aea0-1986-47d8-a5cb-7268a89935ec","timestamp":"2026-04-27T03:55:40.877Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"} 9 + {"parentUuid":"4507aea0-1986-47d8-a5cb-7268a89935ec","isSidechain":false,"attachment":{"type":"skill_listing","content":"- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. 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Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).\nTRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.\nSKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.\n- skill-judge: Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.\n- edge-tts: Cloudflare Edge TTS 部署与接入。用户提到 edge tts、cloudflare tts、tts worker、文字转语音、语音播报、本机通知接语音、给脚本接 TTS、列 voices、部署一个轻量 TTS 服务时必须使用。适合 clone/部署 DIYgod/cloudflare-edge-tts、做 smoke test、接入本地 shell 脚本与缓存。\n- xsearch: 无需 MCP 的 Grok 直搜 + 轻量编排套套。用于用户说 `$xsearch`、xsearch、想直接跑 curl/HTTP 版 hey-grok、所在环境没挂 hey-grok MCP 但有 shell、需要在脚本/CI/cron 里调搜索，或遇到深度研究想上 subagent fan-out 但不想走 MCP 时。包含只有两种模式：`solo`——单次调用 xsearch 叶子工具；`ensemble`——用提示词触发宿主 agent 自己的并发 subagent/Task 机制并行跷 N 个正交角度，每个子 agent 只用 xsearch，最后父 agent 做交叉综合。包含自动分类会议：拿到问题先判断 solo 还是 ensemble。不做进程/shell 级并发，并发实际逻辑交给宿主 runtime（Claude Code Task / Codex subagent / 平行工具调用）。\n- session-wrap: Use when the user wants to wrap up the current coding session, summarize the current session before ending work, document learnings, decide what to commit, or says 总结会话, 会话总结, 收尾, 会话收尾, 结束会话, 总结本次会话.\n- research-note-wrap: Use when the user wants to summarize research or analysis into a readable Obsidian markdown note, such as 总结调研, 输出结论, 总结分析, 输出笔记, 调研纪要, 分析纪要, 会话结论, or when asking to summarize today's sessions about a topic. Use for current-session summaries by default, and for cross-session topic summaries when the user mentions 今天会话 or gives a topic scope.\n- cloudflare: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.\n- wechat-macos: Use when automating WeChat for macOS through axcli, including switching chats, sending text, reading the latest messages, and visual verification. Scope is the native macOS client only.\n- network-diagnosis: Use when the user mentions sb, sing-box, Shadowrocket, Tailscale, VPN conflicts, DNS issues, UDP failures, fakeIP side effects, or asks for a global network diagnosis/control workflow on this Mac.\n- browser-harness: Direct browser control via CDP. Use when the user wants to automate, scrape, test, or interact with web pages. Connects to the user's already-running Chrome.\n- skill-creator: Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.\n- workers-best-practices: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). 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Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). 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\"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. 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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 + 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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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"type":"last-prompt","lastPrompt":"继续推进 先做一个 plan","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 65 + {"type":"permission-mode","permissionMode":"plan","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 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 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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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 + 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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 + {"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 + {"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 + 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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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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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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]>(`"," 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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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 + {"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 value;\n return \"ended\";\n}\n\nfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {\n if (jsonMode) {\n console.log(\n JSON.stringify(\n { error: { code: \"state_db_unavailable\", message: error.message } },\n null,\n 2,\n ),\n );\n } else {\n console.error(error.message);\n }\n process.exitCode = 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 + {"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 + {"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 + {"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: 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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 + {"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 + 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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 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{"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 + {"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 + {"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 () => 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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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\"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 + 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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 + {"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 + {"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 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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 + {"type":"last-prompt","lastPrompt":"继续推进 先做一个 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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 + {"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 + {"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 + {"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 + {"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: $?---\"","description":"Smoke: missing state db should emit structured json error and exit 1"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","timestamp":"2026-04-27T04:08:26.328Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 290 + {"parentUuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_0135j6GaoQYr5G9i7QG4AfBz","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"15f1c3ab-e540-4a3f-9ac8-2e57ec360abb","timestamp":"2026-04-27T04:08:26.358Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"} 291 + {"parentUuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0135j6GaoQYr5G9i7QG4AfBz","type":"tool_result","content":"$ 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 + {"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 + {"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 + {"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 + 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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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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 + {"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 + {"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 + {"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 + {"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 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{"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 + {"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 + {"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 + {"type":"last-prompt","lastPrompt":"开一个 team 来推进实现的工作","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 382 + {"type":"custom-title","customTitle":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 383 + {"type":"agent-name","agentName":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 384 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 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 + {"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 + {"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 + {"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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{"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 + {"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 + 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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 + 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stop","durationMs":3208},{"command":"http://localhost:59948/claude_code/hooks"}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":true,"level":"suggestion","timestamp":"2026-04-27T05:32:24.398Z","uuid":"b6022651-ab78-40d3-93bb-8d7107905abd","toolUseID":"a3b479e1-8d4b-479e-9976-22e230d24dce","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"} 517 + {"parentUuid":"b6022651-ab78-40d3-93bb-8d7107905abd","isSidechain":false,"type":"system","subtype":"away_summary","content":"目标是按 review 报告推进 cxs 的 P0/P1 修复;当前 4 个 commit 已落地、本地领先 origin/main 但未 push,bun run check 全过。下一步:决定是否 push 或开 PR。 (disable recaps in /config)","timestamp":"2026-04-27T05:35:32.284Z","uuid":"d39b1c1f-45fe-472c-a3bb-b2e12548dff4","isMeta":false,"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"} 518 + {"parentUuid":"d39b1c1f-45fe-472c-a3bb-b2e12548dff4","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":" Findings\n\n - Important: current --json 的 schema drift 处理仍不完整。query.ts:123 只检查 threads 表存在，但\n query.ts:128 立刻查询 rollout_path/title/cwd/updated_at_ms。如果表存在但列变了，异常不是\n CurrentStateDbError，CLI 也不会走 cli.ts:55 的结构化 error 分支。我用缺 rollout_path 的临时 state DB 复现\n 了：current --json 直接输出 SQLiteError: no such column: rollout_path 堆栈。建议补 PRAGMA\n table_info(threads) 的 required columns 检查，并加 missing-column CLI 测试。\n - Important: stale lock 修复仍不是原子 TOCTOU 修复。sync-lock.ts:75 在重新读取并比对后仍然调用 path-based\n rmSync；在二次读取和删除之间，另一个进程仍可能删除旧 stale lock 并创建新 lock，这个进程随后会删掉新\n lock。现在测试只覆盖“新 lock 已经在二次读取前出现”的情况。建议要么把表述改成 best-effort mitigation，要么\n 引入真正的互斥清理机制/OS lock，别把 P0-3 标为已彻底修复。\n - Minor: 新 ranking 文档不适合进公开 repo 原样保留。docs/RANKING_WEIGHTS.md:3 用了本机绝对路径链接，多处\n GitHub 不可用；docs/RANKING_WEIGHTS.md:213 还写了不存在的 read-range <uuid> --start 0。建议改相对路径，并\n 把命令改成当前 CLI 真实的 --seq / read-page 语义。"},"uuid":"82b3c3df-a971-4da0-9177-0602644dff93","timestamp":"2026-04-27T05:40:06.300Z","permissionMode":"bypassPermissions","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"} 519 + 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522 + {"parentUuid":"1b459dba-17a8-43dc-80e2-8b6b2bee3d18","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01M3Yf2AskQ92Birnq8p2KCG","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"d9dfaf6a-345e-4fb6-82e2-b3efc3b1a939","timestamp":"2026-04-27T05:40:58.525Z","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"} 523 + {"parentUuid":"1b459dba-17a8-43dc-80e2-8b6b2bee3d18","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M3Yf2AskQ92Birnq8p2KCG","type":"tool_result","content":"1\t# cxs ranking 权重说明\n2\t\n3\t本文是 [ranking.ts](/Users/envvar/work/repos/cxs/ranking.ts) 与 [query.ts](/Users/envvar/work/repos/cxs/query.ts) 中所有 magic constant 的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。\n4\t\n5\t每个权重都需要在三个层次的相对量级里活下去：\n6\t\n7\t1. **bm25 row-level 分数**(从 `query.ts:289` 或 `messages_fts` 的 `bm25(...)` 来)。被 `-row.score` 翻成正向后，单行通常落在 `2 ~ 15`。\n8\t2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n9\t3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n10\t\n11\t“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n12\t\n13\t---\n14\t\n15\t## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`"}]},"uuid":"59d150e7-8c3d-43bb-8c48-86eda25891ab","timestamp":"2026-04-27T05:40:58.529Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md","content":"# cxs ranking 权重说明\n\n本文是 [ranking.ts](/Users/envvar/work/repos/cxs/ranking.ts) 与 [query.ts](/Users/envvar/work/repos/cxs/query.ts) 中所有 magic constant 的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。\n\n每个权重都需要在三个层次的相对量级里活下去：\n\n1. **bm25 row-level 分数**(从 `query.ts:289` 或 `messages_fts` 的 `bm25(...)` 来)。被 `-row.score` 翻成正向后，单行通常落在 `2 ~ 15`。\n2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n\n“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n\n---\n\n## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`","numLines":15,"startLine":1,"totalLines":235}},"sourceToolAssistantUUID":"1b459dba-17a8-43dc-80e2-8b6b2bee3d18","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"} 524 + 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best row,**只要候选是 `message` 而当前不是,立刻替换,不比较分数**。\n209\t\n210\t**为什么这样选**:\n211\t\n212\t- `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。\n213\t- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。\n214\t- 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。\n215\t\n216\t**改动它会影响什么**:\n217\t\n218\t- 如果改成“按分数走”:列表里 snippet 更可能反映“为什么排第一”(因为常常是 title 命中导致它进了前列);代价是用户点进去发现 read-range 没法直接定位,UX 退步。\n219\t- 如果反过来 `session > message` 优先:对短查询友好(会显示标题命中),对长查询/具体问题查询灾难,因为用户其实最想看到他/agent 的原话。\n220\t- 当前选择是经过权衡的:**ranking 用全部信号,展示偏向 read-range 友好**。如果将来引入独立的 “preview” 系统(比如每个 session 给一段 LLM 生成的命中解释),这条规则可以放松,但现在不要改。\n221\t\n222\t---\n223\t\n224\t## 调权 checklist\n225\t\n226\t在动任何一个数字之前,先问自己:\n227\t\n228\t1. 这个改动属于 SQL 列权重 / row signal / session signal / 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string,\n114\t limit: number,\n115\t): { cwd: string; candidates: CurrentSessionCandidate[] } {\n116\t const normalizedCwd = cwd.trim();\n117\t if (!normalizedCwd) {\n118\t return { cwd: normalizedCwd, candidates: [] };\n119\t }\n120\t\n121\t const db = new Database(stateDbPath, { readonly: true });\n122\t try {\n123\t if (!tableExists(db, \"threads\")) {\n124\t throw new CurrentStateDbError(\n125\t `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n126\t );\n127\t }\n128\t const candidates = db\n129\t .query<CurrentSessionCandidate, [string, number]>(`\n130\t SELECT\n131\t id AS sessionUuid,\n132\t title,\n133\t cwd,\n134\t rollout_path AS filePath,\n135\t COALESCE(updated_at_ms, 0) AS updatedAtMs\n136\t FROM threads\n137\t WHERE cwd = ?\n138\t ORDER BY updated_at_ms DESC\n139\t LIMIT 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Keep this in sync with the SELECT below.","+const THREADS_REQUIRED_COLUMNS = [\"id\", \"rollout_path\", \"cwd\", \"title\", \"updated_at_ms\"] as const;","+"," export function findSessions("," dbPath: string,"," query: string,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"bc4da740-a9de-476a-98c4-e3c87d18827f","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"} 563 + {"parentUuid":"19391d15-bff1-4bec-a591-aa7cf84d083e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01N2NEuY3dXFAcZAMx7cudus","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RBL215MFJj69oPx11JSt3n","name":"Bash","input":{"command":"bun run check 2>&1 | tail -10","description":"Verify P0-4 column check compiles and tests pass"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":539,"cache_read_input_tokens":195686,"output_tokens":134,"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":539},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":134,"cache_read_input_tokens":195686,"cache_creation_input_tokens":539,"cache_creation":{"ephemeral_5m_input_tokens":539,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"2a2e15b9-4f74-45d9-94a0-f8058313c48f","timestamp":"2026-04-27T05:42:44.754Z","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"} 564 + {"parentUuid":"2a2e15b9-4f74-45d9-94a0-f8058313c48f","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01RBL215MFJj69oPx11JSt3n","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"1d95040e-264f-4b0a-92e7-e71ff0754dd6","timestamp":"2026-04-27T05:42:44.776Z","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"} 565 + {"parentUuid":"2a2e15b9-4f74-45d9-94a0-f8058313c48f","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RBL215MFJj69oPx11JSt3n","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. [1498.00ms]\n[rerun: b14]","is_error":false}]},"uuid":"44aad9ed-b5cb-45df-a06f-bb5195036e30","timestamp":"2026-04-27T05:42:46.886Z","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. [1498.00ms]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2a2e15b9-4f74-45d9-94a0-f8058313c48f","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"} 566 + 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567 + {"parentUuid":"f81f260b-18b0-4e9e-8c0e-d3d4e479787a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01DH61Qu3zM6ozVH3T2TATq9","type":"message","role":"assistant","content":[{"type":"text","text":"代码绿。补两条测试覆盖缺列场景。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":211,"cache_read_input_tokens":196225,"output_tokens":1295,"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":211},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1295,"cache_read_input_tokens":196225,"cache_creation_input_tokens":211,"cache_creation":{"ephemeral_5m_input_tokens":211,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"47acb618-2979-47df-946f-6589c88881ef","timestamp":"2026-04-27T05:42:53.362Z","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"} 568 + {"parentUuid":"47acb618-2979-47df-946f-6589c88881ef","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01DH61Qu3zM6ozVH3T2TATq9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ZnXnqhopjxfsYYgdAss4B","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.test.ts","old_string":" 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 });","new_string":" 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(\"current throws CurrentStateDbError when 'threads' is missing required columns\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-cols-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n // Table exists but lacks rollout_path & updated_at_ms — simulates an\n // upstream rename of the columns we SELECT in getCurrentSessions.\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL\n )\n `);\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 const message = (caught as Error).message;\n expect(message).toContain(\"rollout_path\");\n expect(message).toContain(\"updated_at_ms\");\n });"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":211,"cache_read_input_tokens":196225,"output_tokens":1295,"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":211},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1295,"cache_read_input_tokens":196225,"cache_creation_input_tokens":211,"cache_creation":{"ephemeral_5m_input_tokens":211,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"8cb03e1d-d598-4470-8116-853ca4356a99","timestamp":"2026-04-27T05:43:05.890Z","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"} 569 + {"parentUuid":"8cb03e1d-d598-4470-8116-853ca4356a99","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_018ZnXnqhopjxfsYYgdAss4B","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"bee128e6-effd-40f5-8ec7-70dc8a25b3e7","timestamp":"2026-04-27T05:43:05.909Z","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"} 570 + {"parentUuid":"8cb03e1d-d598-4470-8116-853ca4356a99","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ZnXnqhopjxfsYYgdAss4B","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.test.ts has been updated successfully."}]},"uuid":"e7fcd595-f18b-4492-8d80-c902799ff525","timestamp":"2026-04-27T05:43:05.913Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","oldString":" 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 });","newString":" 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(\"current throws CurrentStateDbError when 'threads' is missing required columns\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-cols-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n // Table exists but lacks rollout_path & updated_at_ms — simulates an\n // upstream rename of the columns we SELECT in getCurrentSessions.\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL\n )\n `);\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 const message = (caught as Error).message;\n expect(message).toContain(\"rollout_path\");\n expect(message).toContain(\"updated_at_ms\");\n });","originalFile":null,"structuredPatch":[{"oldStart":81,"oldLines":6,"newStart":81,"newLines":34,"lines":[" expect((caught as Error).message).toContain(\"threads\");"," });"," ","+ test(\"current throws CurrentStateDbError when 'threads' is missing required columns\", () => {","+ const base = mkdtempSync(join(tmpdir(), \"cxs-current-cols-\"));","+ tempDirs.push(base);","+ const stateDbPath = join(base, \"state.sqlite\");","+ const db = new Database(stateDbPath);","+ // Table exists but lacks rollout_path & updated_at_ms — simulates an","+ // upstream rename of the columns we SELECT in getCurrentSessions.","+ db.run(`","+ CREATE TABLE threads (","+ id TEXT PRIMARY KEY,","+ cwd TEXT NOT NULL,","+ title TEXT NOT NULL","+ )","+ `);","+ db.close();","+","+ let caught: unknown = null;","+ try {","+ getCurrentSessions(stateDbPath, \"/tmp/project\", 10);","+ } catch (error) {","+ caught = error;","+ }","+ expect(caught).toBeInstanceOf(CurrentStateDbError);","+ const message = (caught as Error).message;","+ expect(message).toContain(\"rollout_path\");","+ expect(message).toContain(\"updated_at_ms\");","+ });","+"," test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {"," const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));"," tempDirs.push(base);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"8cb03e1d-d598-4470-8116-853ca4356a99","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"} 571 + {"parentUuid":"e7fcd595-f18b-4492-8d80-c902799ff525","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Amo7RBHpmTshwe3ZNt2GQv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018xVJDZ3JnfsQgv6g1qJMDo","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.test.ts","old_string":" 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 });","new_string":" 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(\"current --json emits structured error when 'threads' is missing required columns\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-cols-\"));\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 cwd TEXT NOT NULL,\n title TEXT NOT NULL\n )\n `);\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(\"rollout_path\");\n // Crucially, raw SQLite errors should never reach stdout — exit 1 with a\n // structured payload is the contract.\n expect(result.stdout).not.toContain(\"SQLiteError\");\n });"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1340,"cache_read_input_tokens":196436,"output_tokens":1127,"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":1340},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1127,"cache_read_input_tokens":196436,"cache_creation_input_tokens":1340,"cache_creation":{"ephemeral_5m_input_tokens":1340,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"576b7dfb-67a1-43a5-bf39-c36718585c07","timestamp":"2026-04-27T05:43:16.484Z","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"} 572 + 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successfully."}]},"uuid":"3a050b08-51bd-4007-a896-7ce9ef284f5f","timestamp":"2026-04-27T05:43:16.522Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.test.ts","oldString":" 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 });","newString":" test(\"current --json emits structured error when state db schema is unexpected\", async () => 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NULL\n )\n `);\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(\"rollout_path\");\n // Crucially, raw SQLite errors should never reach stdout — exit 1 with a\n // structured payload is the contract.\n expect(result.stdout).not.toContain(\"SQLiteError\");\n });","originalFile":null,"structuredPatch":[{"oldStart":113,"oldLines":6,"newStart":113,"newLines":32,"lines":[" expect(payload.error.message).toContain(\"threads\");"," });"," ","+ test(\"current --json emits structured error when 'threads' is missing required columns\", async () => {","+ const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-cols-\"));","+ tempDirs.push(base);","+ const stateDbPath = join(base, \"state.sqlite\");","+ const db = new Database(stateDbPath);","+ db.run(`","+ CREATE TABLE threads (","+ id TEXT PRIMARY KEY,","+ cwd TEXT NOT NULL,","+ title TEXT NOT NULL","+ )","+ `);","+ 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(\"rollout_path\");","+ // Crucially, raw SQLite errors should never reach stdout — exit 1 with a","+ // structured payload is the contract.","+ expect(result.stdout).not.toContain(\"SQLiteError\");","+ });","+"," test(\"find text output points to read-range\", async () => {"," const base = mkdtempSync(join(tmpdir(), \"cxs-cli-\"));"," 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清理存在竞争窗口\n133\t\n134\t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。\n135\t\n136\t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。\n137\t\n138\t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。\n139\t\n140\t### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n141\t\n142\t`current` 直接依赖 `threads` 表和字段：\n143\t\n144\t- `id`\n145\t- `rollout_path`\n146\t- `cwd`\n147\t- `title`\n148\t- `updated_at_ms`\n149\t"}]},"uuid":"2c31d9f9-f40d-4505-9d86-7ab58443b824","timestamp":"2026-04-27T05:44:00.898Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","content":"`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","numLines":20,"startLine":130,"totalLines":203}},"sourceToolAssistantUUID":"ccf03b94-1098-4883-958b-1aec0c405859","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"} 595 + {"parentUuid":"2c31d9f9-f40d-4505-9d86-7ab58443b824","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_0119GTP3h7kHJsUsf9rfzabE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017x84spGVnK1H5ndoK8h4By","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","old_string":"### 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。","new_string":"### P0-3：sync lock stale 清理存在竞争窗口 ⚠️ best-effort mitigation\n\n> 状态：已在 commit `187c5d9` 部分缓解 — 引入 `tryRemoveStaleLock` 在删除前二次比对 `pid + createdAt`。但这是 best-effort,**不是原子 TOCTOU 修复**：在二次读取与 path-based `rmSync` 之间仍有残余 race 窗口,另一个进程可能在该窗口内删除并替换 lock,导致当前进程仍可能 `rmSync` 别人的新 lock。Node/Bun 无 inode-pinned unlink,要做真正原子需引入 OS-level flock(native bindings)。\n>\n> 工程决策：cxs 的 sync 是低并发异常路径,残余 race 窗口极窄,接受 best-effort 表述并在 `sync-lock.ts:tryRemoveStaleLock` 注释里明确标注。如未来观察到锁损坏,再考虑引入 flock 或换 rename-based 抓取。\n\n原文（保留作为背景）：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 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flock 或换 rename-based 抓取。\n\n原文（保留作为背景）：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。","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 ✅ 已修复\n\n> 状态：已在 commit `be75d87 chore: add TypeScript check` 修复（写本报告之后）。`tsconfig.json` 已就绪、`check` 已改为 `tsc --noEmit && bun test`。\n\n原文（保留作为背景）：`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` 当前已经不是玩具脚本，结构、测试和文档同步意识都比较像一个正经小型 CLI。下一阶段最值得投入的是类型检查、异常路径资源释放、lock race 和 state DB schema 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80`。\n\n“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n\n---\n\n## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`\n\n位置: [query.ts:289](/Users/envvar/work/repos/cxs/query.ts)。\n\n`sessions_fts` 的索引列顺序固定为 `(title, summary_text, compact_text, reasoning_summary_text, session_uuid)`,`session_uuid` 是 UNINDEXED,所以 bm25 的四个权重对应前四列。SQLite FTS5 的 bm25 输出是 *负数*,**值越小越好**;权重越大表示该列匹配应该被放大。\n\n| 列 | 权重 | 角色 |\n|---|---|---|\n| `title` | 8.0 | 高浓度信号:标题是人写/生成的概括,几乎没噪声 |\n| `summary_text` | 3.0 | session 摘要,信息密度中等,长度也中等 |\n| `compact_text` | 4.0 | compact handoff 文本,通常比 summary 更覆盖原文术语 |\n| `reasoning_summary_text` | 1.2 | reasoning summary,噪声最大、最容易泛匹配 |\n\n**为什么是这个量级**:\n\n- title 与其他列拉开 ~2x,是希望 *标题恰好命中* 的 session 不需要 row-level signal 也能进入候选集。session-level 还有一个独立的 `titlePhrase=30` 在更高层面再加,所以这里 8.0 不是终值,只是把 title hit 推到 `sessions_fts` 候选的前列。\n- compact > summary 是经验:compact handoff 倾向于完整保留代码/路径/工具名,搜“某个具体函数名”时它的命中含金量更高。\n- reasoning summary 给到 1.2 是因为它最长、最易抢分,如果给 4.0 会让“agent 在思考里随口提过的词”压过真正的内容命中。\n\n**改动它会影响什么**:\n\n- 整体放大(比如全乘 2)不改变 row 间相对顺序,只把 session 路径的 row 在 row-level signal 加完后压制 `messages_fts` 路径。**几乎没意义,不建议**。\n- 单独抬高 reasoning_summary 是高风险动作:reasoning 文本里高频出现 \"user said\", \"the code does\",会把 session 推到全局头部又没真信息。改之前必须有 P1-2 mixed match 对照测试做回归。\n- 单独抬高 title 收益小、风险也小,但要记得 `scoreSession` 那一层已经有 `titlePhrase=30 / titleTermHits×10`,改这里等于双重计入,改一处就好。\n\n---\n\n## scoreRow: 单 row 信号\n\n位置: [ranking.ts:166-178](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nnormalizedBm25\n + (contentPhrase ? 8 : 0)\n + termCoverage * 2\n + (matchSource === \"message\" ? 4 : 0)\n + (matchRole === \"user\" ? 2 : 0)\n```\n\n四项的设计意图是:**bm25 + 三个 token-free 的硬证据**。bm25 处理“词义相关性”,这三项处理 bm25 看不到的元信息。\n\n### `contentPhrase ? 8 : 0`\n\n整条 normalizedQuery(已 trim+lower)作为子串出现在 row 文本里时加 8。\n\n- 量级取舍:8 大致等于一条“标题级”单列 bm25。意思是“整词组完整命中” ≈ “标题里出现过这个词”,这是一个故意做高的赌注,因为 bm25 在 token 切分后看不到“两个词必须挨着”这种用户意图。\n- 改高(>=12):对引号式查询会更准,但中文长 query 会几乎自动满分,失去区分度。\n- 改低(<=4):多 token 查询会被 bm25 单词命中淹没,“`hash collision`” 这种短语和 “`hash` 在 X、`collision` 在 Y”同分。改低之前先做 P1-2 mixed match 对照测试。\n\n### `termCoverage * 2`\n\n`countMatchedTerms(content, terms)`,即 query 里多少个 token 在这一行出现过。\n\n- 量级取舍:每个 token 加 2,3-token query 满覆盖 = 6,差不多和 user-bump+message-bump 加起来一个量级,保证“覆盖更全的行”能压过“偶然命中一个高频词的行”,但不至于盖住 contentPhrase 的 8。\n- 改高(>=4):短 query 没影响,长 query 会让“凑齐了所有词但散得很开的长行”赢,这通常不是搜索者想要的——bm25 已经在做这件事了,这一项是“补强”不是“主信号”。\n- 改低(<=1):多 token query 的覆盖度退化为可有可无,大概率出现“两词都命中但只命中一次的行 < 一词命中三次的行”这种反直觉结果。\n\n### `matchSource === \"message\" ? 4 : 0`\n\nsession-level 召回(来自 `sessions_fts`)拿不到这 4 分,只有 `messages_fts` / LIKE 路径来的 row 才有。\n\n- 量级取舍:4 表示“可回读的真实消息证据”比“只在 session 元数据里命中”值多大约半个 contentPhrase。这是一个产品价值判断:用户能 `read-range` 进去看到原文的命中,价值远高于只在 summary 里出现的命中。\n- 改高(>=8):会让 session-level 命中几乎永远沉底,尤其是“title 完全命中但没有 message 命中”的 session 会被压到看不见,跟 `scoreSession.titlePhrase=30` 的初衷打架。\n- 改低或去掉:read-range 体验劣化——用户 `cxs find` 看到结果,点进去 read-range 经常发现没有可定位的消息,要被迫去 read-page。\n\n### `matchRole === \"user\" ? 2 : 0`\n\nuser-authored content 比 agent 输出多 2 分。\n\n- 量级取舍:2 是几个权重里最小的,因为这是一个“轻偏好”而不是“强信号”。前提假设:用户搜索时心里想的更多是“我之前说过什么”而不是“agent 答了什么”。但 agent 答案里也常含有用户问的同样的词,所以不能给太高,否则 user 复述一次就压掉 agent 的完整答复段。\n- 改高(>=4):适合 “主要回忆自己问过什么” 的人;副作用是 agent 总结性的命中(常常正是用户要找的)被压低。\n- 改低(=0):退化为不区分 role,适合“两边都重要”的工作流。\n\n---\n\n## scoreSession: session 级补强\n\n位置: [ranking.ts:186-197](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nbestRowSignalScore\n + (titlePhrase ? 30 : 0)\n + titleTermHits * 10\n + cwdTermHits * 18\n + min(userHitCount, 3) * 4\n + min(sessionHitCount, 2) * 2\n + min(hitCount, 6) * 1.5\n + recencyBonus\n```\n\n这一层的目的:**让“证据稍弱但 session 整体强相关”的 session 也能赢**。bestRowSignalScore 是 `scoreRow` 出来的最大值,后面所有项是“session 才能看到的信号”。\n\n### `titlePhrase ? 30 : 0`\n\n整条 normalizedQuery 作为子串出现在 title 里加 30。\n\n- 量级取舍:30 是全文档最大的单项 bonus,故意做高。bm25 + scoreRow 满分大约 25-30,这一项一旦命中就足以让一个 row-level 弱命中的 session 进前列。\n- 直觉:用户搜的词如果完整出现在 session 标题里,几乎可以肯定是同一件事,任何 row 级证据都不必再压它。\n- 改高(>=50):很少会让结果更好,反而让“标题恰好包含但内容已不相关”的旧 session 浮起来。\n- 改低(<=15):title-only 命中失去优先级,搜索短语类 query 时退化明显。\n\n### `titleTermHits * 10`\n\ntoken 维度的 title 命中,每命中一个 query token 加 10。\n\n- 量级取舍:乘 10 让 “3-token 全命中标题” = 30,与 phrase 命中持平。即“词都在标题里、只是顺序对不上”可以达到 phrase 的水平。\n- 改高(>=15):多 token query 里只要有几个词出现在标题就压顶,即使语义未必相关——容易被高频词带偏。\n- 改低(<=4):短 phrase 更倾向 phrase 命中而不是 token 命中,中文 query bigram 切分后 token 多、容易因为打折而退化。\n\n### `cwdTermHits * 18`\n\n每命中一个 query token 在 session 的 `cwd` 中,加 18。\n\n- 量级取舍:18 比 titleTermHits×10 更大,这是因为 cwd 的“噪声密度”远低于 title——title 是自然语言、可能和 query 同词不同意,而 cwd 是文件路径,query token 命中 cwd 几乎一定意味着用户当时在那个仓库/目录。\n- 比 titlePhrase=30 略低,但单 token 命中就给 18,意味着“在某个 repo 名里出现过的 query token” = 半个 phrase 命中,这是给“按项目找”的工作流量身定的。\n- 改高:几乎所有 query 都会被 cwd 主导,严重的话两条同 repo 的不相关 session 比一条跨 repo 的精准命中还高,这是错的。\n- 改低或去掉:跨仓库使用 cxs 找“在哪个项目里讨论过 X”体验会变差,这是当前 cxs 的核心使用场景之一。\n\n### `min(userHitCount, 3) * 4`\n\nsession 里 user-role 的 row 命中数,先 clamp 到 3,再乘 4(满分 12)。\n\n- clamp=3 的意义:防止“用户在同一 session 里反复提同一个词”就把这个 session 推到顶。3 次 user 命中以上视为饱和——再多没有更多信息量。\n- 量级取舍:满分 12 大致 = bm25 一行的中等命中,不会压过 title 信号但能在两条 row-level 旗鼓相当时做 tiebreak。\n- 改高 clamp(>=5):适合“用户经常多轮 follow-up”的工作流,但要警惕日志里的复读机式 session 抢顶。\n- 改高乘数(>=6):4*5=20 接近 cwd 量级,会让“只是用户提到过几次”的 session 升得太高。\n\n### `min(sessionHitCount, 2) * 2`\n\nsession-level row(`matchSource === 'session'`)的命中条数, clamp 到 2,乘 2(满分 4)。\n\n- 为什么这么小:session-level 命中本身已经在 `bm25(sessions_fts, ...)` 里被打过分,scoreSession 里再算一次只是保证“title + summary + compact 多列同时命中”能比“只命中其中一列”略好。\n- clamp=2 的意义:`sessions_fts` 一个 session 最多产 1 行(去重过),实际能到 2 的情况很少;clamp 在 2 是为了未来如果路径里产生多 session-level row 时的封顶。\n- 改这个权重的收益很低,通常不要动它,先看 SQL 列权重那一节。\n\n### `min(hitCount, 6) * 1.5`\n\nsession 内总命中行数,clamp 到 6,乘 1.5(满分 9)。\n\n- clamp=6 的意义:总命中行数饱和点。一个 session 里 6 条以上 row 命中,几乎可以肯定是相关的;再多反而可能是噪声(冗长 session 沾边了几个高频词)。\n- 1.5 是“最弱信号”的乘数:命中数本身已经被 bm25 / scoreRow 算过,这里只是“量上的小补强”。\n- 改高 clamp(>=10):长 session 永远比短 session 优势大,惩罚“一次精准命中的短 session”。clamp 在 6 是为了把“质”和“量”的权衡偏向质。\n- 改低乘数(<=0.5):没什么副作用,但也没什么收益,不建议动。\n\n---\n\n## recencyDecay: 时间衰减\n\n位置: [ranking.ts:205-210](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nmax(0, 18 - days_since_ended * 0.15)\n```\n\n| 参数 | 值 | 含义 |\n|---|---|---|\n| 起始 bonus | 18 | 当 `endedAt = now` 时的最大加分 |\n| 每日衰减 | 0.15 | 每过 1 天减 0.15 |\n| 截断窗口 | 120 天 | `18 / 0.15 = 120`,超过后归零 |\n\n**18 的量级取舍**:\n\n- 18 设计成“接近 cwd 单 token 命中(也是 18)”但仍小于 `titlePhrase=30`。意思是:今天的 session 即使没有 cwd/title 命中,也大约相当于一次 cwd 命中的优先级——但永远不超过明确语义命中。\n- 这是反“最近就是最相关”的:cxs 的搜索更偏召回历史而不是 timeline 浏览,所以 recency 不能压过内容信号。\n\n**0.15/day 的量级取舍**:\n\n- 一周衰减 ~1 分,一个月 ~4.5 分。意味着“最近一周内的差异基本可忽略”,但 1 个月外开始让位给真正的内容命中。\n- 这条是经验取值,代表“记忆里‘最近’的边界”大概是几周不是几天。\n\n**120 天截断的含义**:\n\n- 4 个月之外的 session,recency 完全不参与排序,纯靠内容信号。这是一个有意为之的“记忆边界”——如果你在搜半年前的事情,recency 不应该再帮倒忙地把无关的近期 session 推上来。\n- 改窗口的影响:窗口越长,timeline 偏好越长尾;窗口越短,排序在窗口之外彻底变成内容驱动。120 天是个折衷,不建议轻易动。\n\n**改动它会影响什么**:\n\n- 抬高 18 → recency 接近内容信号,适合“几乎只搜最近”的人,但会让 cxs 退化成时间倒序 + 内容过滤。\n- 抬高 0.15 → 旧 session 更快沉底,适合搜短期记忆;副作用是“两个月前那次配置”这类长跨度回忆变难。\n- 把整个函数换成指数衰减:技术上可行,但目前没有数据支持指数比线性更好,而且会损失这套权重和别的常量之间清晰的“几分等于一次命中”的对应关系。\n\n---\n\n## shouldUseDisplayRow: message 优先于 session\n\n位置: [ranking.ts:148-157](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```ts\nif (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\nif (candidate.matchSource !== current.matchSource) return false;\nreturn candidateScore > currentScore;\n```\n\n这不是一个数字权重,而是一个**硬规则**:对 *显示用* 的 best row,**只要候选是 `message` 而当前不是,立刻替换,不比较分数**。\n\n**为什么这样选**:\n\n- `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。\n- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。\n- 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。\n\n**改动它会影响什么**:\n\n- 如果改成“按分数走”:列表里 snippet 更可能反映“为什么排第一”(因为常常是 title 命中导致它进了前列);代价是用户点进去发现 read-range 没法直接定位,UX 退步。\n- 如果反过来 `session > message` 优先:对短查询友好(会显示标题命中),对长查询/具体问题查询灾难,因为用户其实最想看到他/agent 的原话。\n- 当前选择是经过权衡的:**ranking 用全部信号,展示偏向 read-range 友好**。如果将来引入独立的 “preview” 系统(比如每个 session 给一段 LLM 生成的命中解释),这条规则可以放松,但现在不要改。\n\n---\n\n## 调权 checklist\n\n在动任何一个数字之前,先问自己:\n\n1. 这个改动属于 SQL 列权重 / row signal / session signal / recency 哪一层?\n2. 它和同一层的其他常量有没有量级冲突?(例如改 `titlePhrase` 必须和 `titleTermHits` 一起看,因为 3-token 全命中标题的总分是 `30 + 30`)\n3. 它和其他层的常量有没有量级冲突?(例如 `cwdTermHits=18` 和 `recency 起始=18` 是故意持平的)\n4. 有没有 P1-2 mixed match 对照测试做回归?contentPhrase / SQL 列权重这种改动尤其需要。\n5. 改动是为了一个具体的搜索 case 还是一个 *分类* 的搜索 case?为单 case 调权基本一定会让平均体验变差,先确认这是一个 pattern。\n\n如果这五条里有一条答不上来,**不要改**。\n","structuredPatch":[{"oldStart":1,"oldLines":6,"newStart":1,"newLines":6,"lines":[" # cxs ranking 权重说明"," ","-本文是 [ranking.ts](/Users/envvar/work/repos/cxs/ranking.ts) 与 [query.ts](/Users/envvar/work/repos/cxs/query.ts) 中所有 magic constant 的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。","+本文是 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~ 15`。\n2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n\n“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n\n---\n\n## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`\n\n位置: [query.ts:289](/Users/envvar/work/repos/cxs/query.ts)。\n\n`sessions_fts` 的索引列顺序固定为 `(title, summary_text, compact_text, reasoning_summary_text, session_uuid)`,`session_uuid` 是 UNINDEXED,所以 bm25 的四个权重对应前四列。SQLite FTS5 的 bm25 输出是 *负数*,**值越小越好**;权重越大表示该列匹配应该被放大。\n\n| 列 | 权重 | 角色 |\n|---|---|---|\n| `title` | 8.0 | 高浓度信号:标题是人写/生成的概括,几乎没噪声 |\n| `summary_text` | 3.0 | session 摘要,信息密度中等,长度也中等 |\n| `compact_text` | 4.0 | compact handoff 文本,通常比 summary 更覆盖原文术语 |\n| `reasoning_summary_text` | 1.2 | reasoning summary,噪声最大、最容易泛匹配 |\n\n**为什么是这个量级**:\n\n- title 与其他列拉开 ~2x,是希望 *标题恰好命中* 的 session 不需要 row-level signal 也能进入候选集。session-level 还有一个独立的 `titlePhrase=30` 在更高层面再加,所以这里 8.0 不是终值,只是把 title hit 推到 `sessions_fts` 候选的前列。\n- compact > summary 是经验:compact handoff 倾向于完整保留代码/路径/工具名,搜“某个具体函数名”时它的命中含金量更高。\n- reasoning summary 给到 1.2 是因为它最长、最易抢分,如果给 4.0 会让“agent 在思考里随口提过的词”压过真正的内容命中。\n\n**改动它会影响什么**:\n\n- 整体放大(比如全乘 2)不改变 row 间相对顺序,只把 session 路径的 row 在 row-level signal 加完后压制 `messages_fts` 路径。**几乎没意义,不建议**。\n- 单独抬高 reasoning_summary 是高风险动作:reasoning 文本里高频出现 \"user said\", \"the code does\",会把 session 推到全局头部又没真信息。改之前必须有 P1-2 mixed match 对照测试做回归。\n- 单独抬高 title 收益小、风险也小,但要记得 `scoreSession` 那一层已经有 `titlePhrase=30 / titleTermHits×10`,改这里等于双重计入,改一处就好。\n\n---\n\n## scoreRow: 单 row 信号\n\n位置: [ranking.ts:166-178](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nnormalizedBm25\n + (contentPhrase ? 8 : 0)\n + termCoverage * 2\n + (matchSource === \"message\" ? 4 : 0)\n + (matchRole === \"user\" ? 2 : 0)\n```\n\n四项的设计意图是:**bm25 + 三个 token-free 的硬证据**。bm25 处理“词义相关性”,这三项处理 bm25 看不到的元信息。\n\n### `contentPhrase ? 8 : 0`\n\n整条 normalizedQuery(已 trim+lower)作为子串出现在 row 文本里时加 8。\n\n- 量级取舍:8 大致等于一条“标题级”单列 bm25。意思是“整词组完整命中” ≈ “标题里出现过这个词”,这是一个故意做高的赌注,因为 bm25 在 token 切分后看不到“两个词必须挨着”这种用户意图。\n- 改高(>=12):对引号式查询会更准,但中文长 query 会几乎自动满分,失去区分度。\n- 改低(<=4):多 token 查询会被 bm25 单词命中淹没,“`hash collision`” 这种短语和 “`hash` 在 X、`collision` 在 Y”同分。改低之前先做 P1-2 mixed match 对照测试。\n\n### `termCoverage * 2`\n\n`countMatchedTerms(content, terms)`,即 query 里多少个 token 在这一行出现过。\n\n- 量级取舍:每个 token 加 2,3-token query 满覆盖 = 6,差不多和 user-bump+message-bump 加起来一个量级,保证“覆盖更全的行”能压过“偶然命中一个高频词的行”,但不至于盖住 contentPhrase 的 8。\n- 改高(>=4):短 query 没影响,长 query 会让“凑齐了所有词但散得很开的长行”赢,这通常不是搜索者想要的——bm25 已经在做这件事了,这一项是“补强”不是“主信号”。\n- 改低(<=1):多 token query 的覆盖度退化为可有可无,大概率出现“两词都命中但只命中一次的行 < 一词命中三次的行”这种反直觉结果。\n\n### `matchSource === \"message\" ? 4 : 0`\n\nsession-level 召回(来自 `sessions_fts`)拿不到这 4 分,只有 `messages_fts` / LIKE 路径来的 row 才有。\n\n- 量级取舍:4 表示“可回读的真实消息证据”比“只在 session 元数据里命中”值多大约半个 contentPhrase。这是一个产品价值判断:用户能 `read-range` 进去看到原文的命中,价值远高于只在 summary 里出现的命中。\n- 改高(>=8):会让 session-level 命中几乎永远沉底,尤其是“title 完全命中但没有 message 命中”的 session 会被压到看不见,跟 `scoreSession.titlePhrase=30` 的初衷打架。\n- 改低或去掉:read-range 体验劣化——用户 `cxs find` 看到结果,点进去 read-range 经常发现没有可定位的消息,要被迫去 read-page。\n\n### `matchRole === \"user\" ? 2 : 0`\n\nuser-authored content 比 agent 输出多 2 分。\n\n- 量级取舍:2 是几个权重里最小的,因为这是一个“轻偏好”而不是“强信号”。前提假设:用户搜索时心里想的更多是“我之前说过什么”而不是“agent 答了什么”。但 agent 答案里也常含有用户问的同样的词,所以不能给太高,否则 user 复述一次就压掉 agent 的完整答复段。\n- 改高(>=4):适合 “主要回忆自己问过什么” 的人;副作用是 agent 总结性的命中(常常正是用户要找的)被压低。\n- 改低(=0):退化为不区分 role,适合“两边都重要”的工作流。\n\n---\n\n## scoreSession: session 级补强\n\n位置: [ranking.ts:186-197](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nbestRowSignalScore\n + (titlePhrase ? 30 : 0)\n + titleTermHits * 10\n + cwdTermHits * 18\n + min(userHitCount, 3) * 4\n + min(sessionHitCount, 2) * 2\n + min(hitCount, 6) * 1.5\n + recencyBonus\n```\n\n这一层的目的:**让“证据稍弱但 session 整体强相关”的 session 也能赢**。bestRowSignalScore 是 `scoreRow` 出来的最大值,后面所有项是“session 才能看到的信号”。\n\n### `titlePhrase ? 30 : 0`\n\n整条 normalizedQuery 作为子串出现在 title 里加 30。\n\n- 量级取舍:30 是全文档最大的单项 bonus,故意做高。bm25 + scoreRow 满分大约 25-30,这一项一旦命中就足以让一个 row-level 弱命中的 session 进前列。\n- 直觉:用户搜的词如果完整出现在 session 标题里,几乎可以肯定是同一件事,任何 row 级证据都不必再压它。\n- 改高(>=50):很少会让结果更好,反而让“标题恰好包含但内容已不相关”的旧 session 浮起来。\n- 改低(<=15):title-only 命中失去优先级,搜索短语类 query 时退化明显。\n\n### `titleTermHits * 10`\n\ntoken 维度的 title 命中,每命中一个 query token 加 10。\n\n- 量级取舍:乘 10 让 “3-token 全命中标题” = 30,与 phrase 命中持平。即“词都在标题里、只是顺序对不上”可以达到 phrase 的水平。\n- 改高(>=15):多 token query 里只要有几个词出现在标题就压顶,即使语义未必相关——容易被高频词带偏。\n- 改低(<=4):短 phrase 更倾向 phrase 命中而不是 token 命中,中文 query bigram 切分后 token 多、容易因为打折而退化。\n\n### `cwdTermHits * 18`\n\n每命中一个 query token 在 session 的 `cwd` 中,加 18。\n\n- 量级取舍:18 比 titleTermHits×10 更大,这是因为 cwd 的“噪声密度”远低于 title——title 是自然语言、可能和 query 同词不同意,而 cwd 是文件路径,query token 命中 cwd 几乎一定意味着用户当时在那个仓库/目录。\n- 比 titlePhrase=30 略低,但单 token 命中就给 18,意味着“在某个 repo 名里出现过的 query token” = 半个 phrase 命中,这是给“按项目找”的工作流量身定的。\n- 改高:几乎所有 query 都会被 cwd 主导,严重的话两条同 repo 的不相关 session 比一条跨 repo 的精准命中还高,这是错的。\n- 改低或去掉:跨仓库使用 cxs 找“在哪个项目里讨论过 X”体验会变差,这是当前 cxs 的核心使用场景之一。\n\n### `min(userHitCount, 3) * 4`\n\nsession 里 user-role 的 row 命中数,先 clamp 到 3,再乘 4(满分 12)。\n\n- clamp=3 的意义:防止“用户在同一 session 里反复提同一个词”就把这个 session 推到顶。3 次 user 命中以上视为饱和——再多没有更多信息量。\n- 量级取舍:满分 12 大致 = bm25 一行的中等命中,不会压过 title 信号但能在两条 row-level 旗鼓相当时做 tiebreak。\n- 改高 clamp(>=5):适合“用户经常多轮 follow-up”的工作流,但要警惕日志里的复读机式 session 抢顶。\n- 改高乘数(>=6):4*5=20 接近 cwd 量级,会让“只是用户提到过几次”的 session 升得太高。\n\n### `min(sessionHitCount, 2) * 2`\n\nsession-level row(`matchSource === 'session'`)的命中条数, clamp 到 2,乘 2(满分 4)。\n\n- 为什么这么小:session-level 命中本身已经在 `bm25(sessions_fts, ...)` 里被打过分,scoreSession 里再算一次只是保证“title + summary + compact 多列同时命中”能比“只命中其中一列”略好。\n- clamp=2 的意义:`sessions_fts` 一个 session 最多产 1 行(去重过),实际能到 2 的情况很少;clamp 在 2 是为了未来如果路径里产生多 session-level row 时的封顶。\n- 改这个权重的收益很低,通常不要动它,先看 SQL 列权重那一节。\n\n### `min(hitCount, 6) * 1.5`\n\nsession 内总命中行数,clamp 到 6,乘 1.5(满分 9)。\n\n- clamp=6 的意义:总命中行数饱和点。一个 session 里 6 条以上 row 命中,几乎可以肯定是相关的;再多反而可能是噪声(冗长 session 沾边了几个高频词)。\n- 1.5 是“最弱信号”的乘数:命中数本身已经被 bm25 / scoreRow 算过,这里只是“量上的小补强”。\n- 改高 clamp(>=10):长 session 永远比短 session 优势大,惩罚“一次精准命中的短 session”。clamp 在 6 是为了把“质”和“量”的权衡偏向质。\n- 改低乘数(<=0.5):没什么副作用,但也没什么收益,不建议动。\n\n---\n\n## recencyDecay: 时间衰减\n\n位置: [ranking.ts:205-210](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nmax(0, 18 - days_since_ended * 0.15)\n```\n\n| 参数 | 值 | 含义 |\n|---|---|---|\n| 起始 bonus | 18 | 当 `endedAt = now` 时的最大加分 |\n| 每日衰减 | 0.15 | 每过 1 天减 0.15 |\n| 截断窗口 | 120 天 | `18 / 0.15 = 120`,超过后归零 |\n\n**18 的量级取舍**:\n\n- 18 设计成“接近 cwd 单 token 命中(也是 18)”但仍小于 `titlePhrase=30`。意思是:今天的 session 即使没有 cwd/title 命中,也大约相当于一次 cwd 命中的优先级——但永远不超过明确语义命中。\n- 这是反“最近就是最相关”的:cxs 的搜索更偏召回历史而不是 timeline 浏览,所以 recency 不能压过内容信号。\n\n**0.15/day 的量级取舍**:\n\n- 一周衰减 ~1 分,一个月 ~4.5 分。意味着“最近一周内的差异基本可忽略”,但 1 个月外开始让位给真正的内容命中。\n- 这条是经验取值,代表“记忆里‘最近’的边界”大概是几周不是几天。\n\n**120 天截断的含义**:\n\n- 4 个月之外的 session,recency 完全不参与排序,纯靠内容信号。这是一个有意为之的“记忆边界”——如果你在搜半年前的事情,recency 不应该再帮倒忙地把无关的近期 session 推上来。\n- 改窗口的影响:窗口越长,timeline 偏好越长尾;窗口越短,排序在窗口之外彻底变成内容驱动。120 天是个折衷,不建议轻易动。\n\n**改动它会影响什么**:\n\n- 抬高 18 → recency 接近内容信号,适合“几乎只搜最近”的人,但会让 cxs 退化成时间倒序 + 内容过滤。\n- 抬高 0.15 → 旧 session 更快沉底,适合搜短期记忆;副作用是“两个月前那次配置”这类长跨度回忆变难。\n- 把整个函数换成指数衰减:技术上可行,但目前没有数据支持指数比线性更好,而且会损失这套权重和别的常量之间清晰的“几分等于一次命中”的对应关系。\n\n---\n\n## shouldUseDisplayRow: message 优先于 session\n\n位置: [ranking.ts:148-157](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```ts\nif (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\nif (candidate.matchSource !== current.matchSource) return false;\nreturn candidateScore > currentScore;\n```\n\n这不是一个数字权重,而是一个**硬规则**:对 *显示用* 的 best row,**只要候选是 `message` 而当前不是,立刻替换,不比较分数**。\n\n**为什么这样选**:\n\n- `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。\n- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。\n- 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。\n\n**改动它会影响什么**:\n\n- 如果改成“按分数走”:列表里 snippet 更可能反映“为什么排第一”(因为常常是 title 命中导致它进了前列);代价是用户点进去发现 read-range 没法直接定位,UX 退步。\n- 如果反过来 `session > message` 优先:对短查询友好(会显示标题命中),对长查询/具体问题查询灾难,因为用户其实最想看到他/agent 的原话。\n- 当前选择是经过权衡的:**ranking 用全部信号,展示偏向 read-range 友好**。如果将来引入独立的 “preview” 系统(比如每个 session 给一段 LLM 生成的命中解释),这条规则可以放松,但现在不要改。\n\n---\n\n## 调权 checklist\n\n在动任何一个数字之前,先问自己:\n\n1. 这个改动属于 SQL 列权重 / row signal / session signal / recency 哪一层?\n2. 它和同一层的其他常量有没有量级冲突?(例如改 `titlePhrase` 必须和 `titleTermHits` 一起看,因为 3-token 全命中标题的总分是 `30 + 30`)\n3. 它和其他层的常量有没有量级冲突?(例如 `cwdTermHits=18` 和 `recency 起始=18` 是故意持平的)\n4. 有没有 P1-2 mixed match 对照测试做回归?contentPhrase / SQL 列权重这种改动尤其需要。\n5. 改动是为了一个具体的搜索 case 还是一个 *分类* 的搜索 case?为单 case 调权基本一定会让平均体验变差,先确认这是一个 pattern。\n\n如果这五条里有一条答不上来,**不要改**。\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":[" **为什么这样选**:"," "," - `bestRow` 决定 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(`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n9\t3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n10\t\n11\t“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n12\t\n13\t---\n14\t\n15\t## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`\n16\t\n17\t位置: [query.ts:289](../query.ts)。\n18\t\n19\t`sessions_fts` 的索引列顺序固定为 `(title, summary_text, compact_text, reasoning_summary_text, session_uuid)`,`session_uuid` 是 UNINDEXED,所以 bm25 的四个权重对应前四列。SQLite FTS5 的 bm25 输出是 *负数*,**值越小越好**;权重越大表示该列匹配应该被放大。\n20\t\n21\t| 列 | 权重 | 角色 |\n22\t|---|---|---|\n23\t| `title` | 8.0 | 高浓度信号:标题是人写/生成的概括,几乎没噪声 |\n24\t| `summary_text` | 3.0 | session 摘要,信息密度中等,长度也中等 |\n25\t| `compact_text` | 4.0 | compact handoff 文本,通常比 summary 更覆盖原文术语 |\n26\t| `reasoning_summary_text` | 1.2 | reasoning summary,噪声最大、最容易泛匹配 |\n27\t\n28\t**为什么是这个量级**:\n29\t\n30\t- title 与其他列拉开 ~2x,是希望 *标题恰好命中* 的 session 不需要 row-level signal 也能进入候选集。session-level 还有一个独立的 `titlePhrase=30` 在更高层面再加,所以这里 8.0 不是终值,只是把 title hit 推到 `sessions_fts` 候选的前列。\n31\t- compact > summary 是经验:compact handoff 倾向于完整保留代码/路径/工具名,搜“某个具体函数名”时它的命中含金量更高。\n32\t- reasoning summary 给到 1.2 是因为它最长、最易抢分,如果给 4.0 会让“agent 在思考里随口提过的词”压过真正的内容命中。\n33\t\n34\t**改动它会影响什么**:\n35\t\n36\t- 整体放大(比如全乘 2)不改变 row 间相对顺序,只把 session 路径的 row 在 row-level signal 加完后压制 `messages_fts` 路径。**几乎没意义,不建议**。\n37\t- 单独抬高 reasoning_summary 是高风险动作:reasoning 文本里高频出现 \"user said\", \"the code does\",会把 session 推到全局头部又没真信息。改之前必须有 P1-2 mixed match 对照测试做回归。\n38\t- 单独抬高 title 收益小、风险也小,但要记得 `scoreSession` 那一层已经有 `titlePhrase=30 / titleTermHits×10`,改这里等于双重计入,改一处就好。\n39\t\n40\t---\n41\t\n42\t## scoreRow: 单 row 信号\n43\t\n44\t位置: [ranking.ts:166-178](../ranking.ts)。\n45\t\n46\t```\n47\tnormalizedBm25\n48\t + (contentPhrase ? 8 : 0)\n49\t + termCoverage * 2\n50\t + (matchSource === \"message\" ? 4 : 0)\n51\t + (matchRole === \"user\" ? 2 : 0)\n52\t```\n53\t\n54\t四项的设计意图是:**bm25 + 三个 token-free 的硬证据**。bm25 处理“词义相关性”,这三项处理 bm25 看不到的元信息。\n55\t\n56\t### `contentPhrase ? 8 : 0`\n57\t\n58\t整条 normalizedQuery(已 trim+lower)作为子串出现在 row 文本里时加 8。\n59\t\n60\t- 量级取舍:8 大致等于一条“标题级”单列 bm25。意思是“整词组完整命中” ≈ “标题里出现过这个词”,这是一个故意做高的赌注,因为 bm25 在 token 切分后看不到“两个词必须挨着”这种用户意图。\n61\t- 改高(>=12):对引号式查询会更准,但中文长 query 会几乎自动满分,失去区分度。\n62\t- 改低(<=4):多 token 查询会被 bm25 单词命中淹没,“`hash collision`” 这种短语和 “`hash` 在 X、`collision` 在 Y”同分。改低之前先做 P1-2 mixed match 对照测试。\n63\t\n64\t### `termCoverage * 2`\n65\t\n66\t`countMatchedTerms(content, terms)`,即 query 里多少个 token 在这一行出现过。\n67\t\n68\t- 量级取舍:每个 token 加 2,3-token query 满覆盖 = 6,差不多和 user-bump+message-bump 加起来一个量级,保证“覆盖更全的行”能压过“偶然命中一个高频词的行”,但不至于盖住 contentPhrase 的 8。\n69\t- 改高(>=4):短 query 没影响,长 query 会让“凑齐了所有词但散得很开的长行”赢,这通常不是搜索者想要的——bm25 已经在做这件事了,这一项是“补强”不是“主信号”。\n70\t- 改低(<=1):多 token query 的覆盖度退化为可有可无,大概率出现“两词都命中但只命中一次的行 < 一词命中三次的行”这种反直觉结果。\n71\t\n72\t### `matchSource === \"message\" ? 4 : 0`\n73\t\n74\tsession-level 召回(来自 `sessions_fts`)拿不到这 4 分,只有 `messages_fts` / LIKE 路径来的 row 才有。\n75\t\n76\t- 量级取舍:4 表示“可回读的真实消息证据”比“只在 session 元数据里命中”值多大约半个 contentPhrase。这是一个产品价值判断:用户能 `read-range` 进去看到原文的命中,价值远高于只在 summary 里出现的命中。\n77\t- 改高(>=8):会让 session-level 命中几乎永远沉底,尤其是“title 完全命中但没有 message 命中”的 session 会被压到看不见,跟 `scoreSession.titlePhrase=30` 的初衷打架。\n78\t- 改低或去掉:read-range 体验劣化——用户 `cxs find` 看到结果,点进去 read-range 经常发现没有可定位的消息,要被迫去 read-page。\n79\t\n80\t### `matchRole === \"user\" ? 2 : 0`\n81\t\n82\tuser-authored content 比 agent 输出多 2 分。\n83\t\n84\t- 量级取舍:2 是几个权重里最小的,因为这是一个“轻偏好”而不是“强信号”。前提假设:用户搜索时心里想的更多是“我之前说过什么”而不是“agent 答了什么”。但 agent 答案里也常含有用户问的同样的词,所以不能给太高,否则 user 复述一次就压掉 agent 的完整答复段。\n85\t- 改高(>=4):适合 “主要回忆自己问过什么” 的人;副作用是 agent 总结性的命中(常常正是用户要找的)被压低。\n86\t- 改低(=0):退化为不区分 role,适合“两边都重要”的工作流。\n87\t\n88\t---\n89\t\n90\t## scoreSession: session 级补强\n91\t\n92\t位置: [ranking.ts:186-197](../ranking.ts)。\n93\t\n94\t```\n95\tbestRowSignalScore\n96\t + (titlePhrase ? 30 : 0)\n97\t + titleTermHits * 10\n98\t + cwdTermHits * 18\n99\t + min(userHitCount, 3) * 4\n100\t + min(sessionHitCount, 2) * 2\n101\t + min(hitCount, 6) * 1.5\n102\t + recencyBonus\n103\t```\n104\t\n105\t这一层的目的:**让“证据稍弱但 session 整体强相关”的 session 也能赢**。bestRowSignalScore 是 `scoreRow` 出来的最大值,后面所有项是“session 才能看到的信号”。\n106\t\n107\t### `titlePhrase ? 30 : 0`\n108\t\n109\t整条 normalizedQuery 作为子串出现在 title 里加 30。\n110\t\n111\t- 量级取舍:30 是全文档最大的单项 bonus,故意做高。bm25 + scoreRow 满分大约 25-30,这一项一旦命中就足以让一个 row-level 弱命中的 session 进前列。\n112\t- 直觉:用户搜的词如果完整出现在 session 标题里,几乎可以肯定是同一件事,任何 row 级证据都不必再压它。\n113\t- 改高(>=50):很少会让结果更好,反而让“标题恰好包含但内容已不相关”的旧 session 浮起来。\n114\t- 改低(<=15):title-only 命中失去优先级,搜索短语类 query 时退化明显。\n115\t\n116\t### `titleTermHits * 10`\n117\t\n118\ttoken 维度的 title 命中,每命中一个 query token 加 10。\n119\t\n120\t- 量级取舍:乘 10 让 “3-token 全命中标题” = 30,与 phrase 命中持平。即“词都在标题里、只是顺序对不上”可以达到 phrase 的水平。\n121\t- 改高(>=15):多 token query 里只要有几个词出现在标题就压顶,即使语义未必相关——容易被高频词带偏。\n122\t- 改低(<=4):短 phrase 更倾向 phrase 命中而不是 token 命中,中文 query bigram 切分后 token 多、容易因为打折而退化。\n123\t\n124\t### `cwdTermHits * 18`\n125\t\n126\t每命中一个 query token 在 session 的 `cwd` 中,加 18。\n127\t\n128\t- 量级取舍:18 比 titleTermHits×10 更大,这是因为 cwd 的“噪声密度”远低于 title——title 是自然语言、可能和 query 同词不同意,而 cwd 是文件路径,query token 命中 cwd 几乎一定意味着用户当时在那个仓库/目录。\n129\t- 比 titlePhrase=30 略低,但单 token 命中就给 18,意味着“在某个 repo 名里出现过的 query token” = 半个 phrase 命中,这是给“按项目找”的工作流量身定的。\n130\t- 改高:几乎所有 query 都会被 cwd 主导,严重的话两条同 repo 的不相关 session 比一条跨 repo 的精准命中还高,这是错的。\n131\t- 改低或去掉:跨仓库使用 cxs 找“在哪个项目里讨论过 X”体验会变差,这是当前 cxs 的核心使用场景之一。\n132\t\n133\t### `min(userHitCount, 3) * 4`\n134\t\n135\tsession 里 user-role 的 row 命中数,先 clamp 到 3,再乘 4(满分 12)。\n136\t\n137\t- clamp=3 的意义:防止“用户在同一 session 里反复提同一个词”就把这个 session 推到顶。3 次 user 命中以上视为饱和——再多没有更多信息量。\n138\t- 量级取舍:满分 12 大致 = bm25 一行的中等命中,不会压过 title 信号但能在两条 row-level 旗鼓相当时做 tiebreak。\n139\t- 改高 clamp(>=5):适合“用户经常多轮 follow-up”的工作流,但要警惕日志里的复读机式 session 抢顶。\n140\t- 改高乘数(>=6):4*5=20 接近 cwd 量级,会让“只是用户提到过几次”的 session 升得太高。\n141\t\n142\t### `min(sessionHitCount, 2) * 2`\n143\t\n144\tsession-level row(`matchSource === 'session'`)的命中条数, clamp 到 2,乘 2(满分 4)。\n145\t\n146\t- 为什么这么小:session-level 命中本身已经在 `bm25(sessions_fts, ...)` 里被打过分,scoreSession 里再算一次只是保证“title + summary + compact 多列同时命中”能比“只命中其中一列”略好。\n147\t- clamp=2 的意义:`sessions_fts` 一个 session 最多产 1 行(去重过),实际能到 2 的情况很少;clamp 在 2 是为了未来如果路径里产生多 session-level row 时的封顶。\n148\t- 改这个权重的收益很低,通常不要动它,先看 SQL 列权重那一节。\n149\t\n150\t### `min(hitCount, 6) * 1.5`\n151\t\n152\tsession 内总命中行数,clamp 到 6,乘 1.5(满分 9)。\n153\t\n154\t- clamp=6 的意义:总命中行数饱和点。一个 session 里 6 条以上 row 命中,几乎可以肯定是相关的;再多反而可能是噪声(冗长 session 沾边了几个高频词)。\n155\t- 1.5 是“最弱信号”的乘数:命中数本身已经被 bm25 / scoreRow 算过,这里只是“量上的小补强”。\n156\t- 改高 clamp(>=10):长 session 永远比短 session 优势大,惩罚“一次精准命中的短 session”。clamp 在 6 是为了把“质”和“量”的权衡偏向质。\n157\t- 改低乘数(<=0.5):没什么副作用,但也没什么收益,不建议动。\n158\t\n159\t---\n160\t\n161\t## recencyDecay: 时间衰减\n162\t\n163\t位置: [ranking.ts:205-210](../ranking.ts)。\n164\t\n165\t```\n166\tmax(0, 18 - days_since_ended * 0.15)\n167\t```\n168\t\n169\t| 参数 | 值 | 含义 |\n170\t|---|---|---|\n171\t| 起始 bonus | 18 | 当 `endedAt = now` 时的最大加分 |\n172\t| 每日衰减 | 0.15 | 每过 1 天减 0.15 |\n173\t| 截断窗口 | 120 天 | `18 / 0.15 = 120`,超过后归零 |\n174\t\n175\t**18 的量级取舍**:\n176\t\n177\t- 18 设计成“接近 cwd 单 token 命中(也是 18)”但仍小于 `titlePhrase=30`。意思是:今天的 session 即使没有 cwd/title 命中,也大约相当于一次 cwd 命中的优先级——但永远不超过明确语义命中。\n178\t- 这是反“最近就是最相关”的:cxs 的搜索更偏召回历史而不是 timeline 浏览,所以 recency 不能压过内容信号。\n179\t\n180\t**0.15/day 的量级取舍**:\n181\t\n182\t- 一周衰减 ~1 分,一个月 ~4.5 分。意味着“最近一周内的差异基本可忽略”,但 1 个月外开始让位给真正的内容命中。\n183\t- 这条是经验取值,代表“记忆里‘最近’的边界”大概是几周不是几天。\n184\t\n185\t**120 天截断的含义**:\n186\t\n187\t- 4 个月之外的 session,recency 完全不参与排序,纯靠内容信号。这是一个有意为之的“记忆边界”——如果你在搜半年前的事情,recency 不应该再帮倒忙地把无关的近期 session 推上来。\n188\t- 改窗口的影响:窗口越长,timeline 偏好越长尾;窗口越短,排序在窗口之外彻底变成内容驱动。120 天是个折衷,不建议轻易动。\n189\t\n190\t**改动它会影响什么**:\n191\t\n192\t- 抬高 18 → recency 接近内容信号,适合“几乎只搜最近”的人,但会让 cxs 退化成时间倒序 + 内容过滤。\n193\t- 抬高 0.15 → 旧 session 更快沉底,适合搜短期记忆;副作用是“两个月前那次配置”这类长跨度回忆变难。\n194\t- 把整个函数换成指数衰减:技术上可行,但目前没有数据支持指数比线性更好,而且会损失这套权重和别的常量之间清晰的“几分等于一次命中”的对应关系。\n195\t\n196\t---\n197\t\n198\t## shouldUseDisplayRow: message 优先于 session\n199\t\n200\t位置: [ranking.ts:148-157](../ranking.ts)。\n201\t\n202\t```ts\n203\tif (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\n204\tif (candidate.matchSource !== current.matchSource) return false;\n205\treturn candidateScore > currentScore;\n206\t```\n207\t\n\n... 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631 + {"parentUuid":"1eddbe20-92e6-41b5-87ed-6156c0d28794","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_0168XcbN8PWSwWkjtQZg6sim","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xd2VzNU9PNMjbQ4bdWwDTj","name":"Bash","input":{"command":"git -C /Users/envvar/work/repos/cxs add docs/RANKING_WEIGHTS.md && git -C /Users/envvar/work/repos/cxs commit -m \"$(cat <<'EOF'\ndocs(ranking): 修复路径与命令拼写\n\n- 所有 .ts 链接从绝对路径 /Users/envvar/work/repos/cxs/... 改为\n 相对路径 ../...,在 GitHub 与他人 clone 下都可点。\n- 修正不存在的 cxs CLI 选项 \"read-range <uuid> --start 0\":read-range\n 实际只支持 --seq/--query 锚定,matchSeq=null 时直接断了重锚链路 ——\n 按当前 CLI 真实语义重写说明。\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>\nEOF\n)\" && git -C /Users/envvar/work/repos/cxs log --oneline -8","description":"Commit Finding 3 ranking doc fixes + final 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{"type":"last-prompt","lastPrompt":"Findings - Important: current --json 的 schema drift 处理仍不完整。query.ts:123 只检查 threads 表存在，但 query.ts:128 立刻查询 rollout_path/title/cwd/updated_at_ms。如果表存在但列变了，异常不是 CurrentStateDbError，CLI 也不会走…","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 633 + {"type":"custom-title","customTitle":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 634 + {"type":"agent-name","agentName":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"} 635 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
+23
05/9017285930/0/metadata.json
··· 1 + { 2 + "cli_version": "0.5.5", 3 + "checkpoint_id": "059017285930", 4 + "session_id": "0205c615-f243-47fd-b810-21d5ee2671b3", 5 + "strategy": "manual-commit", 6 + "created_at": "2026-04-27T05:45:16.829767Z", 7 + "branch": "main", 8 + "checkpoints_count": 1, 9 + "files_touched": [], 10 + "agent": "Claude Code", 11 + "model": "claude-opus-4-7", 12 + "turn_id": "7d29acaac977", 13 + "token_usage": { 14 + "input_tokens": 140, 15 + "cache_creation_tokens": 588822, 16 + "cache_read_tokens": 11711484, 17 + "output_tokens": 84618, 18 + "api_call_count": 80 19 + }, 20 + "session_metrics": { 21 + "turn_count": 9 22 + } 23 + }
+18
05/9017285930/0/prompt.txt
··· 1 + 开一个 team 来推进实现的工作 2 + 3 + --- 4 + 5 + Findings 6 + 7 + - Important: current --json 的 schema drift 处理仍不完整。query.ts:123 只检查 threads 表存在，但 8 + query.ts:128 立刻查询 rollout_path/title/cwd/updated_at_ms。如果表存在但列变了，异常不是 9 + CurrentStateDbError，CLI 也不会走 cli.ts:55 的结构化 error 分支。我用缺 rollout_path 的临时 state DB 复现 10 + 了：current --json 直接输出 SQLiteError: no such column: rollout_path 堆栈。建议补 PRAGMA 11 + table_info(threads) 的 required columns 检查，并加 missing-column CLI 测试。 12 + - Important: stale lock 修复仍不是原子 TOCTOU 修复。sync-lock.ts:75 在重新读取并比对后仍然调用 path-based 13 + rmSync；在二次读取和删除之间，另一个进程仍可能删除旧 stale lock 并创建新 lock，这个进程随后会删掉新 14 + lock。现在测试只覆盖“新 lock 已经在二次读取前出现”的情况。建议要么把表述改成 best-effort mitigation，要么 15 + 引入真正的互斥清理机制/OS lock，别把 P0-3 标为已彻底修复。 16 + - Minor: 新 ranking 文档不适合进公开 repo 原样保留。docs/RANKING_WEIGHTS.md:3 用了本机绝对路径链接，多处 17 + GitHub 不可用；docs/RANKING_WEIGHTS.md:213 还写了不存在的 read-range <uuid> --start 0。建议改相对路径，并 18 + 把命令改成当前 CLI 真实的 --seq / read-page 语义。
+23
05/9017285930/metadata.json
··· 1 + { 2 + "cli_version": "0.5.5", 3 + "checkpoint_id": "059017285930", 4 + "strategy": "manual-commit", 5 + "branch": "main", 6 + "checkpoints_count": 1, 7 + "files_touched": null, 8 + "sessions": [ 9 + { 10 + "metadata": "/05/9017285930/0/metadata.json", 11 + "transcript": "/05/9017285930/0/full.jsonl", 12 + "content_hash": "/05/9017285930/0/content_hash.txt", 13 + "prompt": "/05/9017285930/0/prompt.txt" 14 + } 15 + ], 16 + "token_usage": { 17 + "input_tokens": 140, 18 + "cache_creation_tokens": 588822, 19 + "cache_read_tokens": 11711484, 20 + "output_tokens": 84618, 21 + "api_call_count": 80 22 + } 23 + }