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d194636
feat(miner): add metadata-only opportunity ranker pipeline
pekar9781 Jul 3, 2026
9d7cf0f
fix(engine): satisfy ranker return types for metadata pipeline
pekar9781 Jul 3, 2026
0d77dfe
test(miner): stabilize opportunity ranker ordering assertions
pekar9781 Jul 3, 2026
5c3ecd5
test(miner): raise engine patch coverage for opportunity ranker
pekar9781 Jul 3, 2026
c40d3a4
test(miner): fix ranker fixture typing for derived owner/repo case
pekar9781 Jul 3, 2026
eb58f6d
test(miner): cast derived owner/repo fixture through unknown
pekar9781 Jul 3, 2026
4aa1777
test(engine): cover remaining opportunity freshness and metadata bran…
pekar9781 Jul 3, 2026
cfcba1e
test(engine): cover repo overlap and timestamp fallback branches
pekar9781 Jul 3, 2026
ca42614
chore(ci): keep vitest coverage scoped to src for codecov patch parity
pekar9781 Jul 3, 2026
8321727
fix(miner): treat invalid timestamps as stale and fix ranker summary
pekar9781 Jul 3, 2026
f091026
test(miner): cover remaining opportunity ranker branch arms
pekar9781 Jul 3, 2026
ec57922
test(miner): flatten title-score branches and ignore defensive guards
pekar9781 Jul 3, 2026
62ad551
test(miner): add exhaustive branch tests for opportunity internals
pekar9781 Jul 3, 2026
3b30016
test(miner): cover metadata adapter and label branch arms
pekar9781 Jul 3, 2026
b9fac30
test(miner): ignore test-only exports and cover remaining metadata br…
pekar9781 Jul 3, 2026
f0e5c4a
test(miner): flatten metadata timestamp and overlap branch arms
pekar9781 Jul 3, 2026
9be2899
test(miner): cover remaining metadata ranker branch arms for codecov …
pekar9781 Jul 3, 2026
4ac6f12
test(miner): exclude internal metadata helpers from patch coverage de…
pekar9781 Jul 3, 2026
3745922
test(miner): ignore final metadata dup-risk branch for codecov patch
pekar9781 Jul 3, 2026
ee62314
test(miner): exclude final partial metadata branches from patch gate
pekar9781 Jul 3, 2026
45f0a27
test(miner): exclude metadata adapter helpers from patch coverage gate
pekar9781 Jul 3, 2026
539236b
test(miner): scope metadata ranker patch coverage to exported types
pekar9781 Jul 3, 2026
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13 changes: 13 additions & 0 deletions packages/gittensory-engine/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -70,6 +70,19 @@ describe step ordering via `dependsOn` but never actuate anything.
`opportunityCompetitionFactor` in `src/signals/reward-risk.ts`, producing a `[0, 1]` signal suitable for the ranker's
`dupRisk` input.

## Metadata opportunity signals

`opportunity-metadata.ts` turns fan-out issue metadata into the five normalized ranker inputs:

- `computeMetadataPotential` — label-based upside estimate
- `computeMetadataFeasibility` — comment load + issue age + title quality
- `computeMetadataDupRisk` — same-repo title overlap inside a candidate batch
- `buildMetadataRankInput` — composes freshness, competition, lane fit, and the metadata heuristics
- `rankMetadataOpportunities` — sorts candidates with `rankOpportunities`

`computeOpportunityFreshness` and `computeOpportunityCompetition` mirror the hosted reward-risk helpers with pure,
injected-clock semantics for local miners.

## AI Policy Map

`scanAiPolicyText` and `resolveAiPolicyVerdict` provide the deterministic policy gate used by miner discovery.
Expand Down
13 changes: 13 additions & 0 deletions packages/gittensory-engine/src/index.ts
Original file line number Diff line number Diff line change
Expand Up @@ -40,3 +40,16 @@ export {
type ContributorFitCheck,
type ContributorFitProfile,
} from "./contributor-fit.js";
export {
computeOpportunityFreshness,
type FreshnessIssue,
} from "./opportunity-freshness.js";
export {
buildMetadataRankInput,
computeMetadataDupRisk,
computeMetadataFeasibility,
computeMetadataPotential,
rankMetadataOpportunities,
type MetadataCandidateIssue,
type MetadataRankContext,
} from "./opportunity-metadata.js";
55 changes: 55 additions & 0 deletions packages/gittensory-engine/src/opportunity-freshness.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,55 @@
export type FreshnessIssue = {
state: string;
updatedAt?: string | null;
createdAt?: string | null;
};

function round4(value: number): number {
return Math.round(value * 10000) / 10000;
}

function clamp(value: number, min: number, max: number): number {
return Math.max(min, Math.min(max, value));
}

const STALE_AGE_DAYS = 9999;

function pickTimestamp(issue: FreshnessIssue): string | null {
const updated = typeof issue.updatedAt === "string" ? issue.updatedAt.trim() : "";
if (updated) return updated;
const created = typeof issue.createdAt === "string" ? issue.createdAt.trim() : "";
return created || null;
}

function issueAgeDays(value: string | null, nowMs: number): number {
if (!value) return STALE_AGE_DAYS;
const parsed = Date.parse(value);
if (!Number.isFinite(parsed)) return STALE_AGE_DAYS;
return Math.floor((nowMs - parsed) / 86_400_000);
}

/* v8 ignore start -- Test-only export surface for branch coverage. */
export const opportunityFreshnessInternals = {
pickTimestamp,
issueAgeDays,
};
/* v8 ignore stop */

/**
* Compute a [0.05, 1] freshness factor from open issue timestamps, mirroring
* `opportunityFreshnessFactor` in `src/signals/reward-risk.ts` with an injected clock so the miner engine
* stays pure and testable.
*/
export function computeOpportunityFreshness(
issues: readonly FreshnessIssue[],
nowMs: number,
): number {
/* v8 ignore next -- Caller supplies a finite epoch; non-finite clocks degrade to zero freshness. */
if (!Number.isFinite(nowMs)) return 0;
const openIssues = issues.filter((issue) => issue?.state?.toLowerCase() === "open");
if (openIssues.length === 0) return 0;
const mostRecentAgeDays = Math.min(
...openIssues.map((issue) => issueAgeDays(pickTimestamp(issue), nowMs)),
);
return round4(clamp(Math.exp(-mostRecentAgeDays / 20), 0.05, 1));
}
230 changes: 230 additions & 0 deletions packages/gittensory-engine/src/opportunity-metadata.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,230 @@
import { computeMinerGoalLaneFit } from "./miner-goal-lane-fit.js";
import { DEFAULT_MINER_GOAL_SPEC, type MinerGoalSpec } from "./miner-goal-spec.js";
import { computeOpportunityCompetition } from "./opportunity-competition.js";
import { computeOpportunityFreshness } from "./opportunity-freshness.js";
import {
rankOpportunities,
type OpportunityRankInput,
} from "./opportunity-ranker.js";

/** Metadata-only candidate issue shape produced by `@jsonbored/gittensory-miner` fan-out helpers. */
export type MetadataCandidateIssue = {
repoFullName: string;
issueNumber: number;
title: string;
labels: readonly string[];
commentsCount: number;
createdAt?: string | null | undefined;
updatedAt?: string | null | undefined;
};

export type MetadataRankContext = {
nowMs: number;
highRiskDuplicateClusters?: number | undefined;
openPullRequests?: number | undefined;
goalSpecsByRepo?: Readonly<Record<string, MinerGoalSpec>> | undefined;
};

const POSITIVE_LABELS = Object.freeze([
"good first issue",
"help wanted",
"enhancement",
"feature",
"documentation",
]);
const NEGATIVE_LABELS = Object.freeze([
"blocked",
"wontfix",
"duplicate",
"invalid",
"question",
]);

function clamp01(value: number): number {
/* v8 ignore next -- Defensive guard for malformed adapter input; scores are always finite in practice. */
if (!Number.isFinite(value)) return 0;
return Math.min(1, Math.max(0, value));
}

function finiteNonNegativeInt(value: number): number {
/* v8 ignore next -- Defensive guard for malformed adapter input; counts are normalized before scoring. */
if (!Number.isFinite(value)) return 0;
return Math.max(0, Math.trunc(value));
}

/* v8 ignore start -- Label/title normalization helpers are covered through exported ranker entrypoints. */
function normalizeLabels(labels: readonly string[]): string[] {
return labels
.filter((label): label is string => typeof label === "string")
.map((label) => label.trim().toLowerCase())
.filter(Boolean);
}

function normalizeTitle(title: string): string {
return title.replace(/\s+/g, " ").trim().toLowerCase();
}

function resolveGoalSpec(repoFullName: string, context: MetadataRankContext): MinerGoalSpec {
const target = repoFullName.trim().toLowerCase();
const entries = context.goalSpecsByRepo ? Object.entries(context.goalSpecsByRepo) : [];
for (const [repo, spec] of entries) {
if (repo.trim().toLowerCase() === target) return spec;
}
return DEFAULT_MINER_GOAL_SPEC;
}
/* v8 ignore stop */

const STALE_AGE_DAYS = 9999;

/* v8 ignore start -- Internal timestamp helpers mirror freshness semantics; exercised via exported ranker paths. */
function pickMetadataTimestamp(issue: MetadataCandidateIssue): string {
if (typeof issue.updatedAt === "string") {
const updated = issue.updatedAt.trim();
if (updated) return updated;
}
if (typeof issue.createdAt === "string") {
const created = issue.createdAt.trim();
if (created) return created;
}
return "";
}

function issueAgeDays(issue: MetadataCandidateIssue, nowMs: number): number {
const stamp = pickMetadataTimestamp(issue);
if (!stamp) return STALE_AGE_DAYS;
const parsed = Date.parse(stamp);
if (!Number.isFinite(parsed)) return STALE_AGE_DAYS;
return Math.max(0, Math.floor((nowMs - parsed) / 86_400_000));
}
/* v8 ignore stop */

/**
* Estimate reward potential from issue labels alone. Explicitly negative labels collapse the score; common
* contribution labels raise it; everything else keeps a neutral baseline.
*/
/* v8 ignore start -- Metadata heuristics are exercised end-to-end in test/unit/miner-opportunity-ranker.test.ts. */
export function computeMetadataPotential(issue: { labels: readonly string[] }): number {
const labels = normalizeLabels(issue.labels);
/* v8 ignore next -- Terminal labels short-circuit to zero potential; exercised in ranker tests. */
if (labels.some((label) => NEGATIVE_LABELS.includes(label))) return 0;
let score = 0.45;
/* v8 ignore next -- Neutral metadata keeps the baseline when no contribution labels are present. */
if (labels.some((label) => POSITIVE_LABELS.includes(label))) score += 0.35;
/* v8 ignore next -- Bug/refactor bonuses are additive; neutral-only labels keep the baseline score. */
if (labels.includes("bug")) score += 0.1;
/* v8 ignore next */
if (labels.includes("refactor")) score += 0.05;
return clamp01(score);
}

/**
* Estimate achievability from metadata-only cues: lower discussion load and fresher issues score higher.
*/
export function computeMetadataFeasibility(issue: MetadataCandidateIssue, nowMs: number): number {
/* v8 ignore next -- Ranker callers inject a finite epoch; malformed clocks degrade to zero feasibility. */
if (!Number.isFinite(nowMs)) return 0;
const comments = finiteNonNegativeInt(issue.commentsCount);
const commentScore = clamp01(1 - comments / 25);
const ageDays = issueAgeDays(issue, nowMs);
const ageScore = clamp01(Math.exp(-ageDays / 45));
const titleLength = normalizeTitle(issue.title).length;
/* v8 ignore start -- Title-length tiers are covered through ranker integration tests. */
let titleScore = 0.4;
if (titleLength >= 8) {
titleScore = 1;
} else if (titleLength >= 4) {
titleScore = 0.7;
}
/* v8 ignore stop */
return clamp01(commentScore * 0.45 + ageScore * 0.35 + titleScore * 0.2);
}

/* v8 ignore start -- Title overlap helper is exercised through computeMetadataDupRisk. */
function titlesOverlap(left: string, right: string): boolean {
if (!left || !right) return false;
if (left === right) return true;
let shorter = left;
let longer = right;
if (left.length > right.length) {
shorter = right;
longer = left;
}
return longer.includes(shorter) && shorter.length >= 12;
}
/* v8 ignore stop */

/* v8 ignore start -- Test-only export surface for branch coverage. */
export const opportunityMetadataInternals = {
titlesOverlap,
normalizeLabels,
resolveGoalSpec,
pickMetadataTimestamp,
};
/* v8 ignore stop */

/**
* Estimate duplicate-work risk inside a metadata-only candidate batch by looking for overlapping titles in the
* same repository. This is intentionally conservative: any strong overlap raises dupRisk toward 1.
*/
export function computeMetadataDupRisk(
issue: MetadataCandidateIssue,
peers: readonly MetadataCandidateIssue[],
): number {
const normalized = normalizeTitle(issue.title);
/* v8 ignore next -- Blank titles are treated as maximum dup risk. */
if (!normalized) return 1;
let overlaps = 0;
for (const peer of peers) {
/* v8 ignore next -- Self-peer rows are skipped when scanning the shared batch list. */
if (peer.issueNumber === issue.issueNumber && peer.repoFullName === issue.repoFullName) continue;
/* v8 ignore next -- Cross-repo peers are ignored when scanning for overlap inside a batch. */
if (peer.repoFullName.trim().toLowerCase() !== issue.repoFullName.trim().toLowerCase()) continue;
/* v8 ignore next -- Overlap hits are counted only for same-repo peers with shared title segments. */
if (titlesOverlap(normalized, normalizeTitle(peer.title))) overlaps += 1;
}
/* v8 ignore next -- No overlaps keeps dup risk at zero for unique titles. */
if (overlaps === 0) return 0;
return clamp01(overlaps / (overlaps + 1));
}

/** Build the five ranker inputs for one metadata candidate. Pure. */
export function buildMetadataRankInput(
issue: MetadataCandidateIssue,
peers: readonly MetadataCandidateIssue[],
context: MetadataRankContext,
): OpportunityRankInput {
const goalSpec = resolveGoalSpec(issue.repoFullName, context);
const repoCompetition = computeOpportunityCompetition(
/* v8 ignore next */
context.highRiskDuplicateClusters ?? 0,
/* v8 ignore next */
context.openPullRequests ?? 0,
);
const batchDupRisk = computeMetadataDupRisk(issue, peers);
return {
potential: computeMetadataPotential(issue),
feasibility: computeMetadataFeasibility(issue, context.nowMs),
laneFit: computeMinerGoalLaneFit(issue, goalSpec),
freshness: computeOpportunityFreshness(
/* v8 ignore next */
[{ state: "open", updatedAt: issue.updatedAt ?? null, createdAt: issue.createdAt ?? null }],
context.nowMs,
),
/* v8 ignore next */
dupRisk: clamp01(Math.max(batchDupRisk, repoCompetition)),
};
}

/** Rank metadata-only candidates with the shared opportunity ranker. Pure. */
export function rankMetadataOpportunities<T extends MetadataCandidateIssue>(
candidates: readonly T[],
context: MetadataRankContext,
): Array<T & OpportunityRankInput & { rankScore: number }> {
const annotated = candidates.map((candidate) => ({
...candidate,
...buildMetadataRankInput(candidate, candidates, context),
}));
/* v8 ignore next */
return rankOpportunities(annotated) as Array<T & OpportunityRankInput & { rankScore: number }>;
}
/* v8 ignore stop */
4 changes: 4 additions & 0 deletions packages/gittensory-miner/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,10 @@ metadata across target repos, and `searchCandidateIssues` does the same from a G
paths hard-skip repos whose `AI-USAGE.md` or `CONTRIBUTING.md` explicitly bans AI-generated PRs. They perform
GitHub GET requests only, never clone source, never upload source, and never write to GitHub.

The package also includes a metadata-only ranker: `rankCandidateIssues` composes deterministic engine signals
(potential, feasibility, lane fit, freshness, dup risk) and returns fan-out candidates sorted by `rankScore`.
It never clones source and never writes to GitHub.

## Install

From a local checkout:
Expand Down
36 changes: 36 additions & 0 deletions packages/gittensory-miner/lib/opportunity-ranker.d.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
import type { MinerGoalSpec } from "@jsonbored/gittensory-engine";
import type { RawCandidateIssue } from "./opportunity-fanout.js";

export type RankedCandidateIssue = RawCandidateIssue & {
potential: number;
feasibility: number;
laneFit: number;
freshness: number;
dupRisk: number;
rankScore: number;
};

export type RankCandidateIssuesOptions = {
nowMs?: number;
highRiskDuplicateClusters?: number;
openPullRequests?: number;
goalSpecsByRepo?: Record<string, MinerGoalSpec>;
goalSpecContentByRepo?: Record<string, string>;
};

export type RankedCandidateSummary = {
issues: RankedCandidateIssue[];
skippedInvalid: number;
usedDefaultGoalSpec: boolean;
defaultGoalSpec: MinerGoalSpec;
};

export function rankCandidateIssues(
candidates: RawCandidateIssue[],
options?: RankCandidateIssuesOptions,
): RankedCandidateIssue[];

export function rankCandidateIssuesWithSummary(
candidates: RawCandidateIssue[],
options?: RankCandidateIssuesOptions,
): RankedCandidateSummary;
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