b1e787e55c
Plan §4.4 + §13: pure SQL recommender, no AI. Single CTE chain (feasible -> aggregates) + JS-side tier classification, fall-through cooldown filter, heat scoring, and fit ranking. Per-port settings via system_settings layered over global + DEFAULT_RECOMMENDER_SETTINGS. Tier ladder (default): A : no interest history B : lost-only history (still recommendable + boosted by heat) C : active interest in early stage (open..eoi_signed) D : active interest at deposit_10pct or beyond (hidden by default) Heat (only for tier B): recency weight 30 full @ <=30 days, decays to 0 @ 365 days furthest stage weight 40 full when prior reached deposit interest count weight 15 saturates at 5+ EOI count weight 15 saturates at 3+ Multi-port isolation enforced (§14.10 critical): the SQL filters by port_id AND the entry-point function rejects cross-port interest lookups with an explicit error. Fall-through policy supports immediate_with_heat (default), cooldown, and never_auto_recommend. 15 unit tests covering tier classification, heat saturation, weight tuning, zero-weight guard. Smoke-tested end-to-end via scripts/dev-recommender-smoke.ts. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
53 lines
1.6 KiB
TypeScript
53 lines
1.6 KiB
TypeScript
/**
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* Dev-only smoke check for the berth recommender. Resolves the first
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* port-nimara interest (with desired dims set) and prints the top-N
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* recommendations.
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*
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* pnpm tsx scripts/dev-recommender-smoke.ts
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*/
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import 'dotenv/config';
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import { eq, isNotNull, and } from 'drizzle-orm';
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import { db } from '@/lib/db';
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import { ports } from '@/lib/db/schema/ports';
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import { interests } from '@/lib/db/schema/interests';
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import { recommendBerths } from '@/lib/services/berth-recommender.service';
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async function main() {
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const [port] = await db
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.select({ id: ports.id })
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.from(ports)
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.where(eq(ports.slug, 'port-nimara'))
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.limit(1);
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if (!port) throw new Error('port-nimara not found');
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const [interest] = await db
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.select({ id: interests.id })
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.from(interests)
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.where(and(eq(interests.portId, port.id), isNotNull(interests.desiredLengthFt)))
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.limit(1);
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if (!interest) throw new Error('No interest with desired dims set');
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console.log(`> Recommending berths for interest ${interest.id} on port ${port.id}…`);
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const recs = await recommendBerths({
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interestId: interest.id,
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portId: port.id,
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});
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console.log(`> ${recs.length} recommendations:`);
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for (const r of recs) {
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console.log(
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` ${r.mooringNumber.padEnd(5)} tier=${r.tier} fit=${r.fitScore} ` +
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`${r.lengthFt}×${r.widthFt}×${r.draftFt} ft buf=${r.sizeBufferPct}% ` +
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`${r.reasons.dimensional}; ${r.reasons.pipeline}`,
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);
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}
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}
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main()
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.then(() => process.exit(0))
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.catch((err) => {
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console.error(err);
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process.exit(1);
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});
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