auditor: kb_query surfaces scrum-master reviews for files in PR diff
lakehouse/auditor 2 blocking issues: unimplemented!() macro call in tests/real-world/hard_task_escalation.ts
lakehouse/auditor 2 blocking issues: unimplemented!() macro call in tests/real-world/hard_task_escalation.ts
Wires the cohesion-plan Phase C link: the scrum-master pipeline writes per-file reviews to data/_kb/scrum_reviews.jsonl on accept; the auditor now reads that same file and emits one kb_query finding per scrum review whose `file` matches a path in the PR's diff. Severity heuristic: attempt 1-3 → info, attempt 4+ → warn. Reaching the cloud specialist (attempt 4+) means the ladder had to escalate, which is meaningful signal reviewers should see. Tree-split fired is also surfaced in the finding summary. audit.ts now passes pr.files.map(f => f.path) into runKbCheck (the old signature dropped it on the floor). Also adds auditor/audit_one.ts — a dry-run CLI for auditing a single PR without posting to Gitea, useful for verifying check behavior without spamming review comments. Verified: after writing scrum_reviews for auditor/audit.ts and mcp-server/observer.ts (both in PR #7), audit_one 7 surfaced both as info findings with preview + accepted_model + tree_split flag. A scrum review for playbook_memory.rs (NOT in PR #7) was correctly filtered out.
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@@ -8,6 +8,7 @@
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// What this check reads (all file-backed, append-only or periodic):
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// data/_kb/outcomes.jsonl — per-scenario outcomes (kb.ts)
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// data/_kb/error_corrections.jsonl — fail→succeed deltas on same sig
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// data/_kb/scrum_reviews.jsonl — scrum-master accepted reviews
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// data/_observer/ops.jsonl — observer ring → disk stream
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// data/_bot/cycles/*.json — bot cycle results
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//
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@@ -21,10 +22,11 @@ import type { Claim, Finding } from "../types.ts";
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const KB_DIR = "/home/profit/lakehouse/data/_kb";
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const OBSERVER_OPS = "/home/profit/lakehouse/data/_observer/ops.jsonl";
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const BOT_CYCLES_DIR = "/home/profit/lakehouse/data/_bot/cycles";
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const SCRUM_REVIEWS_JSONL = "/home/profit/lakehouse/data/_kb/scrum_reviews.jsonl";
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const TAIL_LINES = 500;
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const MAX_BOT_CYCLE_FILES = 30;
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export async function runKbCheck(claims: Claim[]): Promise<Finding[]> {
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export async function runKbCheck(claims: Claim[], prFiles: string[] = []): Promise<Finding[]> {
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const findings: Finding[] = [];
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// 1. Recent scenario outcomes: are strong-claim-style phrases showing
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@@ -48,6 +50,15 @@ export async function runKbCheck(claims: Claim[]): Promise<Finding[]> {
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const obsFindings = await checkObserverStream();
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findings.push(...obsFindings);
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// 5. Scrum-master reviews — surface prior accepted reviews for any
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// file in this PR's diff. Cohesion plan Phase C wire: the
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// auditor gets to "borrow" the scrum-master's deeper per-file
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// analysis instead of re-doing that work.
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if (prFiles.length > 0) {
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const scrumFindings = await checkScrumReviews(prFiles);
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findings.push(...scrumFindings);
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}
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return findings;
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}
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@@ -181,3 +192,54 @@ function observerBySource(ops: any[]): string {
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}
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return Object.entries(c).sort((a, b) => b[1] - a[1]).map(([k, v]) => `${k}=${v}`).join(", ") || "empty";
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}
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// Scrum-master reviews — the scrum pipeline writes one row per
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// accepted per-file review. We match reviews whose `file` matches
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// any path in the PR's diff, then surface the *preview* + which
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// model the escalation ladder had to reach. If the scrum-master
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// needed the 123B specialist or larger to resolve a file, that's
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// a meaningful signal about the code's complexity — and it's
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// surfaced to the PR without the auditor having to re-run the
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// escalation ladder itself.
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async function checkScrumReviews(prFiles: string[]): Promise<Finding[]> {
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const rows = await tailJsonl<any>(SCRUM_REVIEWS_JSONL, TAIL_LINES);
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if (rows.length === 0) return [];
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// Match by exact file OR filename suffix — PR files arrive as
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// `auditor/audit.ts`-style relative paths; scrum stores the same.
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const norm = (p: string) => p.replace(/^\/+/, "").replace(/^home\/profit\/lakehouse\//, "");
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const prSet = new Set(prFiles.map(norm));
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// Keep only the most recent review per file (last-wins).
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const latestByFile = new Map<string, any>();
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for (const r of rows) {
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const f = norm(String(r.file ?? ""));
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if (!f) continue;
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if (!prSet.has(f)) continue;
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latestByFile.set(f, r);
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}
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if (latestByFile.size === 0) return [];
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const findings: Finding[] = [];
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for (const [file, r] of latestByFile) {
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const model = String(r.accepted_model ?? "?");
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const attempt = r.accepted_on_attempt ?? "?";
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const treeSplit = !!r.tree_split_fired;
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// Heuristic: if the scrum-master had to escalate past attempt 3,
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// or had to tree-split, that's context the PR reviewer should see.
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// Severity: info for low-escalation, warn if escalated far up
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// the ladder (cloud specialist required).
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const heavyEscalation = Number(attempt) >= 4;
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const sev: "warn" | "info" = heavyEscalation ? "warn" : "info";
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findings.push({
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check: "kb_query",
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severity: sev,
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summary: `scrum-master review for \`${file}\` — accepted on attempt ${attempt} by \`${model}\`${treeSplit ? " (tree-split)" : ""}`,
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evidence: [
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`reviewed_at: ${r.reviewed_at ?? "?"}`,
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`preview: ${String(r.suggestions_preview ?? "").slice(0, 300).replace(/\n/g, " ")}`,
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],
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});
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}
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return findings;
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}
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