Matt
66869c9a90
Step 6 minimal-but-functional per PRE-DEPLOY-PLAN § 1.6. Berth Heat — new widget showing top 15 berths by active interest count via the interest_berths junction (non-primary links included so multi-berth deals warm every berth in their bundle). Investor-friendly demand-pressure view; the ranked-table shape exports cleanly to PDF/ CSV. Future heatmap viz reads the same shape via /api/v1/dashboard/ berth-heat. Defaults flipped for investor-friendliness: - kpi_pipeline_value → defaultVisible (currency-aware headline number). - source_conversion → defaultVisible (conversion funnel by source; reads the inquiry → client linkage from Step 3). - berth_heat → defaultVisible. Pipeline-velocity-over-time + true heatmap viz deferred. pipeline_funnel covers snapshot stage breakdowns; over-time velocity warrants its own design pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
61 lines
2.0 KiB
TypeScript
61 lines
2.0 KiB
TypeScript
/**
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* Per-berth interest-count rankings — investor-facing analytics surface.
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* For each berth in the port, returns the count of active interests
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* (archived_at IS NULL AND outcome IS NULL) currently linked via the
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* primary `interest_berths` row.
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*
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* Drives the BerthHeatWidget on the dashboard (ranked table view).
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* A future heatmap-style visualization can read the same shape.
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*/
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import { and, count, desc, eq, isNull } from 'drizzle-orm';
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import { db } from '@/lib/db';
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import { berths } from '@/lib/db/schema/berths';
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import { interests, interestBerths } from '@/lib/db/schema/interests';
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export interface BerthHeatRow {
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berthId: string;
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mooringNumber: string;
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area: string | null;
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status: string;
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/** Count of active (non-terminal, non-archived) interests linked to
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* this berth via interest_berths. Treats every interest-berth link
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* equally (no is_primary requirement) so a multi-berth deal warms
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* every berth in its bundle. */
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activeInterestCount: number;
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}
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export async function getBerthHeatRanking(portId: string, limit = 20): Promise<BerthHeatRow[]> {
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const rows = await db
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.select({
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berthId: berths.id,
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mooringNumber: berths.mooringNumber,
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area: berths.area,
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status: berths.status,
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activeInterestCount: count(interests.id),
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})
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.from(berths)
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.leftJoin(interestBerths, eq(interestBerths.berthId, berths.id))
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.leftJoin(
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interests,
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and(
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eq(interests.id, interestBerths.interestId),
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eq(interests.portId, portId),
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isNull(interests.archivedAt),
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isNull(interests.outcome),
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),
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)
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.where(and(eq(berths.portId, portId), isNull(berths.archivedAt)))
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.groupBy(berths.id, berths.mooringNumber, berths.area, berths.status)
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.orderBy(desc(count(interests.id)), berths.mooringNumber)
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.limit(limit);
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return rows.map((r) => ({
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berthId: r.berthId,
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mooringNumber: r.mooringNumber,
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area: r.area,
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status: r.status,
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activeInterestCount: Number(r.activeInterestCount ?? 0),
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}));
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}
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