Auditor self-test branch: real-world pipelines + cohesion Phase C + KB index (PR #8)
Bundles 12 commits validating the auditor + scrum_master architecture end-to-end: - enrich_prd_pipeline / hard_task_escalation / scrum_master_pipeline stress tests - Tree-split + scrum_reviews.jsonl + kb_query surfacing - Verdict → audit_lessons feedback loop (closed) - kb_index aggregator with confidence-based severity policy - 9-run + 5-run empirical tests proved the predictive-compounding property - Level 1 correction: temp=0 cloud inference for deterministic per-claim verdicts - audit_one.ts dry-run CLI - Fixes: static quoted-string guard, empirical-claim classification, symbol-resolver gate, repo-file size cap See PR #8 for run-by-run commit history.
This commit was merged in pull request #8.
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// kb_index — generic on-the-fly aggregation over append-only JSONL
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// scratchpads (audit_lessons, scrum_reviews, outcomes, observer ops).
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//
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// The mem0 insight: raw rows are CHEAP and tell the full story, but
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// downstream prompts need a DEFINITION, not a log. A definition is
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// the aggregate: "this signature has fired N times across M distinct
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// scopes, first_seen=X, last_seen=Y, confidence=M/N."
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//
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// This library is the single shared aggregator. Every KB writer keeps
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// appending raw rows; every KB reader uses aggregate() instead of
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// tailing the raw stream. No second file to sync, no ADD/UPDATE/NOOP
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// routing — the stats roll up from the raw rows every time.
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//
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// Why this works past hundreds of runs:
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// - aggregate() is bounded by distinct_signatures, not total_rows.
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// - confidence = distinct_scopes / count — low for same-scope noise,
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// high for cross-scope patterns. Downstream severity ramps on
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// confidence × count, not raw count, so one unfixed PR can't
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// inflate its own recurrence score (the classic mem0 failure).
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// - rotation (later) moves old raw to archive files; aggregate()
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// can still read both to compute lifetime counts when needed.
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import { readFile } from "node:fs/promises";
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export interface AggregateRow {
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signature: string;
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count: number;
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distinct_scopes: number;
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first_seen: string;
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last_seen: string;
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confidence: number; // distinct_scopes / count — capped at 1.0
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representative_summary: string; // most-recent summary for this signature
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scopes: string[]; // up to 20 most-recent scopes for debugging
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checks: string[]; // distinct `check` values (audit_lessons-specific)
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}
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export interface AggregateOptions<T> {
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/** How to extract the dedup key from a row. */
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keyFn: (row: T) => string | undefined;
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/** How to extract the "scope" — distinct scopes count gives confidence. */
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scopeFn: (row: T) => string | undefined;
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/** How to extract the timestamp (defaults to row.audited_at / row.reviewed_at / row.timestamp). */
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timeFn?: (row: T) => string | undefined;
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/** How to extract a representative summary (defaults to row.summary). */
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summaryFn?: (row: T) => string | undefined;
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/** Max rows to read from the JSONL tail; 0 = read all. */
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tailLimit?: number;
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/** Include per-row check field (for multi-check aggregates). */
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checkFn?: (row: T) => string | undefined;
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}
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/**
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* Read a JSONL file and produce the aggregate map keyed by signature.
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* Safe on missing or malformed files — returns empty map.
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*/
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export async function aggregate<T = any>(
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jsonlPath: string,
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opts: AggregateOptions<T>,
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): Promise<Map<string, AggregateRow>> {
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const out = new Map<string, AggregateRow>();
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let raw: string;
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try { raw = await readFile(jsonlPath, "utf8"); } catch { return out; }
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const lines = raw.split("\n").filter(l => l.length > 0);
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const sliceFrom = opts.tailLimit && opts.tailLimit > 0 ? Math.max(0, lines.length - opts.tailLimit) : 0;
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const timeFn = opts.timeFn ?? ((r: any) => r?.audited_at ?? r?.reviewed_at ?? r?.timestamp ?? r?.ran_at);
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const summaryFn = opts.summaryFn ?? ((r: any) => r?.summary ?? r?.representative_summary);
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// Per-signature scope tracking — need counts by scope to compute
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// distinct_scopes without double-counting a scope that appears 50
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// times. Using a Set<scope> per signature.
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const scopeSets = new Map<string, Set<string>>();
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const checkSets = new Map<string, Set<string>>();
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for (let i = sliceFrom; i < lines.length; i++) {
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let row: T;
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try { row = JSON.parse(lines[i]) as T; } catch { continue; }
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const sig = opts.keyFn(row);
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if (!sig) continue;
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let agg = out.get(sig);
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if (!agg) {
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agg = {
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signature: sig,
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count: 0,
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distinct_scopes: 0,
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first_seen: "",
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last_seen: "",
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confidence: 0,
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representative_summary: "",
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scopes: [],
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checks: [],
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};
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out.set(sig, agg);
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scopeSets.set(sig, new Set<string>());
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checkSets.set(sig, new Set<string>());
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}
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agg.count += 1;
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const scope = opts.scopeFn(row);
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if (scope !== undefined && scope !== null && scope !== "") {
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scopeSets.get(sig)!.add(String(scope));
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// Keep scopes array ordered by recency (newest wins — shift
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// oldest when at cap).
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const arr = agg.scopes;
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const s = String(scope);
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const existing = arr.indexOf(s);
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if (existing >= 0) arr.splice(existing, 1);
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arr.push(s);
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if (arr.length > 20) arr.shift();
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}
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if (opts.checkFn) {
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const c = opts.checkFn(row);
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if (c) checkSets.get(sig)!.add(String(c));
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}
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const t = timeFn(row);
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if (t) {
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if (!agg.first_seen || t < agg.first_seen) agg.first_seen = t;
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if (!agg.last_seen || t > agg.last_seen) agg.last_seen = t;
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}
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const s = summaryFn(row);
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if (s) agg.representative_summary = String(s);
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}
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// Finalize derived fields.
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for (const [sig, agg] of out) {
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const scopes = scopeSets.get(sig) ?? new Set<string>();
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agg.distinct_scopes = scopes.size;
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agg.confidence = agg.count > 0 ? Math.min(1, agg.distinct_scopes / agg.count) : 0;
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const checks = checkSets.get(sig);
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if (checks) agg.checks = Array.from(checks).sort();
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}
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return out;
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}
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/**
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* Severity policy derived from aggregate stats. The rating lives here
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* (not in each check) so all KB readers ramp severity consistently.
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*
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* - confidence × count product is the real signal.
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* - Low confidence (< 0.3) = same-scope noise → info regardless of count.
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* - Mid confidence (0.3-0.6) = mixed signal → warn at count ≥ 3.
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* - High confidence (> 0.6) with count ≥ 5 = block-worthy cross-cutting pattern.
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*
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* Callers can override by reading agg directly; this is the default
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* policy that matches the "don't escalate one unfixed PR" discipline.
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*/
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export function ratingSeverity(agg: AggregateRow): "info" | "warn" | "block" {
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if (agg.confidence >= 0.6 && agg.count >= 5) return "block";
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if (agg.confidence >= 0.3 && agg.count >= 3) return "warn";
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return "info";
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}
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/** Human-friendly one-line summary of an aggregate row for finding evidence. */
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export function formatAgg(agg: AggregateRow): string {
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return `count=${agg.count} distinct_scopes=${agg.distinct_scopes} confidence=${agg.confidence.toFixed(2)} seen=[${agg.first_seen.slice(0, 10)}..${agg.last_seen.slice(0, 10)}]`;
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}
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