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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Finalize transcript for Checkpoint: b9987d117979

cat bdfc9cf8 f5e11ab6

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b9/987d117979/0/content_hash.txt
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b9/987d117979/0/full.jsonl
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3。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":208,"cache_read_input_tokens":198949,"output_tokens":948,"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":208},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":948,"cache_read_input_tokens":198949,"cache_creation_input_tokens":208,"cache_creation":{"ephemeral_5m_input_tokens":208,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"9edd5523-3fe2-48c0-8eb4-92f83ad5efb9","timestamp":"2026-04-27T05:43:32.624Z","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"} 583 583 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mitigation。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1184,"cache_read_input_tokens":199157,"output_tokens":890,"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":1184},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":890,"cache_read_input_tokens":199157,"cache_creation_input_tokens":1184,"cache_creation":{"ephemeral_5m_input_tokens":1184,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"b2eb2785-c232-4725-bc7f-aabd83eb1fa8","timestamp":"2026-04-27T05:43:50.782Z","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"} 589 + 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Acceptable\n// for cxs's low-concurrency sync flow; revisit if we ever observe corruption.\n// Exported for unit tests.\nexport function tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1184,"cache_read_input_tokens":199157,"output_tokens":890,"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":1184},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":890,"cache_read_input_tokens":199157,"cache_creation_input_tokens":1184,"cache_creation":{"ephemeral_5m_input_tokens":1184,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"efe53eed-0e34-4c90-b594-dcfa4f92c7a3","timestamp":"2026-04-27T05:43:56.947Z","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"} 590 + {"parentUuid":"efe53eed-0e34-4c90-b594-dcfa4f92c7a3","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01KMaru1FMNu9rfqtAXFuBjL","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"76197bd0-3fb6-437d-8a02-124abb546a64","timestamp":"2026-04-27T05:43:56.992Z","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"} 591 + {"parentUuid":"efe53eed-0e34-4c90-b594-dcfa4f92c7a3","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KMaru1FMNu9rfqtAXFuBjL","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/sync-lock.ts has been updated successfully."}]},"uuid":"f88f2a71-574a-4850-abce-6730838e0442","timestamp":"2026-04-27T05:43:56.996Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/sync-lock.ts","oldString":"// Why: avoid TOCTOU when clearing a stale lock. Between our `existing` read\n// and the actual `rmSync` call, another sync process can re-create the lock.\n// Re-read and compare pid+createdAt: only delete the lock file if it's still\n// the same one we judged dead. Exported for unit tests.\nexport function tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {","newString":"// Best-effort mitigation, NOT an atomic TOCTOU fix. The race window between\n// our initial read and rmSync is narrowed (we re-read and bail if the lock\n// no longer matches `expected`), but a residual window remains: between our\n// re-read and the path-based rmSync, another process can still delete the\n// stale lock and create a fresh one — we'd then unlink that fresh lock by\n// path. node:fs has no inode-pinned unlink, and we don't take an OS-level\n// flock, so this is the best we can do without native bindings. Acceptable\n// for cxs's low-concurrency sync flow; revisit if we ever observe corruption.\n// Exported for unit tests.\nexport function tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {","originalFile":"import { readFileSync, rmSync, writeFileSync } from \"node:fs\";\n\nconst LOCK_SUFFIX = \".sync.lock\";\nconst LOCK_WAIT_TIMEOUT_MS = 10_000;\nconst LOCK_POLL_INTERVAL_MS = 100;\n\ninterface SyncLockInfo {\n pid: number;\n createdAt: string;\n}\n\nexport class SyncLockTimeoutError extends Error {\n constructor(lockPath: string, info: SyncLockInfo | null) {\n const owner = info ? `pid ${info.pid} since ${info.createdAt}` : \"unknown owner\";\n super(`sync already running: ${owner} (${lockPath})`);\n this.name = \"SyncLockTimeoutError\";\n }\n}\n\nexport function syncLockPath(dbPath: string): string {\n return `${dbPath}${LOCK_SUFFIX}`;\n}\n\nexport async function withSyncLock<T>(dbPath: string, fn: () => Promise<T>): Promise<T> {\n const release = await acquireSyncLock(syncLockPath(dbPath));\n try {\n return await fn();\n } finally {\n release();\n }\n}\n\nasync function acquireSyncLock(lockPath: string): Promise<() => void> {\n const deadline = Date.now() + LOCK_WAIT_TIMEOUT_MS;\n const lockInfo: SyncLockInfo = {\n pid: process.pid,\n createdAt: new Date().toISOString(),\n };\n\n while (true) {\n try {\n writeFileSync(lockPath, JSON.stringify(lockInfo), { flag: \"wx\" });\n return () => releaseSyncLock(lockPath, lockInfo);\n } catch (error) {\n if (!isAlreadyExistsError(error)) throw error;\n }\n\n const existing = readLockInfo(lockPath);\n if (existing && !isProcessAlive(existing.pid)) {\n // If tryRemoveStaleLock returns false, another process took over the\n // lock between our read and our cleanup attempt — fall through to the\n // poll/timeout branch instead of clobbering its lock file.\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n }\n\n if (Date.now() >= deadline) {\n throw new SyncLockTimeoutError(lockPath, existing);\n }\n\n await sleep(LOCK_POLL_INTERVAL_MS);\n }\n}\n\nfunction releaseSyncLock(lockPath: string, lockInfo: SyncLockInfo): void {\n const existing = readLockInfo(lockPath);\n if (!existing) return;\n if (existing.pid !== lockInfo.pid || existing.createdAt !== lockInfo.createdAt) return;\n removeLockIfPresent(lockPath);\n}\n\n// Why: avoid TOCTOU when clearing a stale lock. Between our `existing` read\n// and the actual `rmSync` call, another sync process can re-create the lock.\n// Re-read and compare pid+createdAt: only delete the lock file if it's still\n// the same one we judged dead. 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Acceptable","+// for cxs's low-concurrency sync flow; revisit if we ever observe corruption.","+// Exported for unit tests."," export function tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {"," const reChecked = readLockInfo(lockPath);"," if (!reChecked) return true;"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"efe53eed-0e34-4c90-b594-dcfa4f92c7a3","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"} 592 + 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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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successfully."}]},"uuid":"04340117-f1a1-4bed-bd0d-620d3a144c7b","timestamp":"2026-04-27T05:44:13.237Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","oldString":"### 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。","newString":"### 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 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 防御，而不是继续堆检索权重。\n","structuredPatch":[{"oldStart":129,"oldLines":10,"newStart":129,"newLines":14,"lines":[" "," `getCurrentSessions()` 已经采用这种结构，其他函数应对齐。"," ","-### P0-3：sync lock stale 清理存在竞争窗口","+### P0-3：sync lock stale 清理存在竞争窗口 ⚠️ best-effort mitigation"," ","-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。","+> 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)。","+>","+> 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。"," ","+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。","+"," 建议删除前重新读取并比对 `pid + 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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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best-effort mitigation 已文档化\",解释 path-based rmSync 残余 race 与不上 OS-level flock 的工程取舍 |\n| `51bbe46` docs(ranking) | RANKING_WEIGHTS.md 内 6 处绝对路径全改相对(`../*.ts`),并把不存在的 `read-range --start 0` 改为符合当前 CLI 的 `--seq/--query` 描述 |\n\n`bun run check` 全 42 tests 绿。本地 main 现领先 origin/main 7 个 commit:\n\n```\n51bbe46 docs(ranking): 修复路径与命令拼写\n301b420 docs(sync-lock): 标记 stale lock 清理为 best-effort mitigation\n5a35f4d fix(current): 校验 threads 必需列,完善 schema drift 防御\n1657a0e feat(eval): 加 perf-bench 脚本,真实大库 advisory 基准\n3a8bbf9 test(query): 锁定 mixed/session-only/message-only displayRow 契约\n4e1136d docs(ranking): 新增权重说明与调权 checklist\n187c5d9 fix(core): 修复 P0-2/3/4 (DB 释放 / lock race / state db 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