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src/components/ai-assistant/insights.js
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186
src/components/ai-assistant/insights.js
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/**
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* Dashboard fact sheet.
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*
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* Every assistant answer is derived from here, using the same formulas the
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* dashboard components use — so the assistant can never state a figure that
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* contradicts the card or chart sitting next to it.
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*
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* This module is pure: dashboard data in, derived facts out. No UI, no
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* transport, no dependency on any AI product.
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*/
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export const pct = (n, d) => (d ? Math.round((n / d) * 100) : 0);
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export const plural = (n, word, irregular) =>
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`${n} ${n === 1 ? word : irregular || `${word}s`}`;
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export const verb = (n, singular, plural_) => (n === 1 ? singular : plural_);
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const avg = (values) =>
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values.length ? Math.round(values.reduce((a, b) => a + b, 0) / values.length) : 0;
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const DAY_MS = 1000 * 60 * 60 * 24;
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/** `today` is injected rather than read from the clock so answers are stable. */
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export function buildFacts({
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applications = [],
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postings = [],
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interviews = [],
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staff = [],
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profiles = [],
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activity = [],
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courses = [],
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profile = null,
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today = new Date(),
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}) {
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const scored = applications.filter((a) => a.ai_score > 0);
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const ranked = [...scored].sort((a, b) => b.ai_score - a.ai_score);
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const byStatus = (...statuses) => applications.filter((a) => statuses.includes(a.status));
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const unscreened = byStatus('applied');
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const screened = byStatus('ai_screened', 'shortlisted', 'interview', 'hired');
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const interviewing = byStatus('interview');
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const hired = byStatus('hired');
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const openPositions = postings.filter((p) => p.status === 'active');
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const applicationsFor = (id) => applications.filter((a) => a.job_posting_id === id);
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const completedInterviews = interviews.filter((i) => i.overall_interview_score > 0);
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/* Time-to-hire — the created→updated span ImpactMetrics uses. */
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const timeToHire = hired.length
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? Math.round(avg(hired.map((a) =>
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Math.max(1, (new Date(a.updated_date) - new Date(a.created_date)) / DAY_MS))))
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: 0;
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/* Open roles attracting nobody. */
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const starvedPositions = openPositions.filter((p) => applicationsFor(p.id).length === 0);
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/* Roles resting on a single candidate — one withdrawal and the role reopens. */
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const singleCandidateRoles = openPositions
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.map((p) => ({ posting: p, viable: applicationsFor(p.id).filter((a) => a.ai_score >= 60) }))
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.filter((e) => e.viable.length === 1);
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/* Strong candidates nobody has moved on — the most expensive kind of delay. */
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const stalled = ranked.filter((a) => a.ai_score >= 80 && a.status === 'ai_screened');
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const funnel = [
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{ key: 'applied', label: 'Applied', count: applications.length },
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{ key: 'ai_screened', label: 'AI Screened', count: screened.length },
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{ key: 'shortlisted', label: 'Shortlisted', count: byStatus('shortlisted', 'interview', 'hired').length },
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{ key: 'interview', label: 'Interviewed', count: interviewing.length + hired.length },
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{ key: 'hired', label: 'Hired', count: hired.length },
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];
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const transitions = funnel.slice(1).map((stage, i) => ({
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from: funnel[i].label,
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to: stage.label,
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rate: pct(stage.count, funnel[i].count),
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lost: Math.max(0, funnel[i].count - stage.count),
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}));
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const bottleneck = [...transitions].sort((a, b) => a.rate - b.rate)[0] || null;
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const byRole = openPositions.map((p) => {
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const apps = applicationsFor(p.id);
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const roleScored = apps.filter((a) => a.ai_score > 0);
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return {
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posting: p,
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title: p.title,
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category: p.role_category || 'Uncategorized',
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applied: apps.length,
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screened: apps.filter((a) => a.status !== 'applied').length,
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hired: apps.filter((a) => a.status === 'hired').length,
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avgScore: avg(roleScored.map((a) => a.ai_score)),
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qualified: roleScored.filter((a) => a.ai_score >= 70).length,
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};
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});
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const since = (days) => {
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const cutoff = today.getTime() - days * DAY_MS;
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return activity.filter((e) => new Date(e.created_date).getTime() >= cutoff);
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};
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const eventCounts = activity.reduce((acc, e) => {
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acc[e.event_type] = (acc[e.event_type] || 0) + 1;
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return acc;
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}, {});
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return {
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today,
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/* Applications */
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applications,
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total: applications.length,
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scored,
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ranked,
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top: ranked.slice(0, 3),
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weak: ranked.filter((a) => a.ai_score > 0 && a.ai_score < 40),
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unscreened,
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screened,
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interviewing,
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hired,
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stalled,
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avgScore: avg(scored.map((a) => a.ai_score)),
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hiredAvgScore: avg(hired.map((a) => a.ai_score)),
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missingCredentials: scored.filter((a) => !(a.certifications || []).length),
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narrowAvailability: scored.filter((a) => (a.availability || []).length <= 1),
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/* Positions */
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postings,
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openPositions,
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starvedPositions,
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singleCandidateRoles,
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byRole,
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applicationsFor,
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/* Interviews */
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interviews,
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completedInterviews,
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avgInterviewScore: avg(completedInterviews.map((i) => i.overall_interview_score)),
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interviewCompletion: pct(completedInterviews.length, interviews.length),
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flagged: interviews.filter((i) => (i.integrity_score ?? 100) < 100),
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/* Hires */
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staff,
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unratedStaff: staff.filter((s) => !s.client_rating),
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timeToHire,
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hireRate: pct(hired.length, applications.length),
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/* Funnel */
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funnel,
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transitions,
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bottleneck,
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/* Talent pool */
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profiles,
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elite: profiles.filter((p) => (p.krow_score || 0) >= 90),
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unscoredProfiles: profiles.filter((p) => !(p.krow_score > 0)),
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/* Activity */
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activity,
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activity7d: since(7),
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activity24h: since(1),
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eventCounts,
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/* Signed-in worker (talent context only) */
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profile,
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courses,
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/* Economics — mirrors ImpactMetrics */
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costSaved: scored.length * 45 + interviews.length * 80,
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hoursSaved: Math.round((scored.length * 15 + interviews.length * 30) / 60),
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standardizedPct: pct(scored.length, applications.length),
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};
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}
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/* ── Answer formatting ──────────────────────────────────────────────────── */
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export const bullets = (items) => items.filter(Boolean).map((t) => `• ${t}`).join('\n');
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export const numbered = (items) =>
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items.filter(Boolean).map((t, i) => `${i + 1}. ${t}`).join('\n\n');
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export const heading = (text) => `**${text}**`;
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/** Joins answer blocks, dropping empties so templates can use conditionals. */
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export const compose = (...blocks) => blocks.filter((b) => b !== null && b !== undefined && b !== '').join('\n');
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