mayatnikovandClaude Opus 4.7
2a6cc0cdb1
Implements the vNext architecture from the research doc: demote the noisy
multi-rail planner in favour of a closed loop (world truth → invariant check)
plus a single utility-driven goal authority.
L1 services (fix no_drop / silent pathfinder hang first):
- InventoryLedger: diff-based "did I actually get it" verifier; acquire-food
now confirms via ledger.gainedSince instead of the unreliable count/event.
- MotionService.gotoSafe: wall-clock timeout + progress watchdog +
path_update(noPath/timeout) → structured {reached|stuck|timeout|nopath}.
L3 plan — unify the three competing rails (curriculum/manifesto/storyline):
- Settlement Contract: ordered M0–M9 milestones, each invariant-checked
against an authoritative world view (early steps delegate to the proven
curriculum; late game adds farming).
- InvariantChecker + predicate library; GoalManager selects the lowest unmet
milestone via utility argmax (food-urgency preempts, DEPS-style).
- Wired into the scheduler: bot.js precomputes snapshot.contract; reflex.js
consumes it in place of the storyline rail. Manifesto L0 still preempts.
Eval + robustness:
- Village Score (single 0..1 metric) on the snapshot + TUI "build" line.
- survive.dig-in skill + dusk_dig_in mode (exposed at night, no bed → cover).
- approach_block helper (GoalNear + lookAt, avoids GoalLookAtBlock #341).
+28 new tests (450 total green). LLM remains entirely off the tick path.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
79 lines
2.4 KiB
JavaScript
79 lines
2.4 KiB
JavaScript
// Village Score (L5 eval) — one number for "is the bot actually building a
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// settlement, or just walking?" (research §2). The research's formula mixes
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// milestones, food stock, fence closure, lit tiles, uptime, distinct skills
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// and dialog quality. We compute the subset that is *observable* today; fence
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// polygon / lit-tile fraction stay at 0 until those skills exist (the score is
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// honest about what it can measure rather than faking precision).
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//
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// Pure: snapshot + a few derived inputs in, { score, components } out. Score is
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// normalised to 0..1 so a dashboard / TUI can show a single percentage.
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const TWO_HOURS_MS = 2 * 60 * 60 * 1000;
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const DISTINCT_SKILL_TARGET = 12;
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function clamp01(n) {
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if (!Number.isFinite(n)) return 0;
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return n < 0 ? 0 : n > 1 ? 1 : n;
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}
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function milestoneFraction(contract) {
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if (!contract || !contract.total) return 0;
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return clamp01(contract.completed / contract.total);
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}
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function foodSecurity(snapshot) {
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if (snapshot?.hasFood) return 1;
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return clamp01((snapshot?.food ?? 0) / 18);
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}
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function baseEstablished(snapshot) {
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const loc = snapshot?.locations ?? {};
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const want = ["base", "shelter", "chest"];
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const have = want.filter((k) => loc[k]).length;
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return clamp01(have / want.length);
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}
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function distinctSkillsSucceeded(metrics) {
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if (!metrics) return 0;
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const n = Object.values(metrics).filter((m) => (m?.ok ?? 0) > 0).length;
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return clamp01(n / DISTINCT_SKILL_TARGET);
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}
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function uptimeFraction(uptimeMs) {
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return clamp01((uptimeMs ?? 0) / TWO_HOURS_MS);
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}
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function survival(snapshot) {
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return clamp01((snapshot?.health ?? 0) / 20);
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}
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const WEIGHTS = Object.freeze({
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milestones: 0.35,
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food: 0.15,
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base: 0.15,
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distinctSkills: 0.15,
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uptime: 0.10,
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survival: 0.10,
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});
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export function computeVillageScore(snapshot, { contract, uptimeMs = 0, metrics = null } = {}) {
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const components = {
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milestones: milestoneFraction(contract),
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food: foodSecurity(snapshot),
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base: baseEstablished(snapshot),
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distinctSkills: distinctSkillsSucceeded(metrics),
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uptime: uptimeFraction(uptimeMs),
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survival: survival(snapshot),
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};
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let score = 0;
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for (const [k, w] of Object.entries(WEIGHTS)) score += w * components[k];
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return {
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score: Math.round(clamp01(score) * 1000) / 1000,
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components,
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milestonesCompleted: contract?.completed ?? 0,
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milestonesTotal: contract?.total ?? 0,
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};
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}
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export const _internal = { clamp01, WEIGHTS, milestoneFraction, foodSecurity, baseEstablished };
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