Staffing Co-Pilot UI — architecture-first enrichments + shift clock
lakehouse/auditor 2 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
lakehouse/auditor 2 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
J's direction: the dashboard was explanatory but not *actionable* as
a staffing-matrix console. Refactor so the architecture claims from
docs/PRD.md surface as operational signals on every contract card.
Backend (mcp-server/index.ts):
+ GET|POST /intelligence/arch_signals — probes live substrate health
so the dashboard shows instant-search latency, index shape,
playbook-memory entries, and pathway-memory (ADR-021) trace count.
Fires one fresh /vectors/hybrid probe against workers_500k_v1 so
the "instant search" number on screen is live, not cached.
* /intelligence/permit_contracts now times every hybrid call per
contract and returns search_latency_ms, so the card can display
the per-query latency pill (⚡ 342ms).
+ Per-contract computed fields returned from the backend:
search_latency_ms — real /vectors/hybrid duration
fill_probability — base_pct (by pool_size×count ratio)
+ curve [d0, d3, d7, d14, d21, d30]
with cumulative fill% per bucket
economics — avg_pay_rate, gross_revenue,
gross_margin, margin_pct,
payout_window_days [30, 45],
over_bill_count,
over_bill_pool_margin_at_risk
shifts_needed — 1st/2nd/3rd/4th inferred from
permit work_type + description regex
* Pre-existing dangling-brace bug in api() fixed (the `activeTrace`
logging block had been misplaced at module scope, referencing
variables that only existed inside the function). Restart was
failing with "Unexpected }" at line 76. Moved tracing inside the
try block where parsed/path/body/ms are in scope.
Frontend (mcp-server/search.html):
+ Top "Substrate Signals" section — 4 live tiles (instant search,
index, playbook memory, pathway matrix). Color-codes latency
(green <100ms, amber <500ms, red otherwise).
+ "24/7 Shift Coverage" section — SVG 24-hour clock with 4 colored
shift arcs (1st/2nd/3rd/4th), current-time needle, center label
showing the live shift, per-shift contract count tiles beside.
4th shift assumes weekend/split; handles 3rd-shift wrap across
midnight by splitting into two arcs.
+ Per-card architecture pills: instant-search latency, SQL-filter
pool-size with k=200 boost note, shift requirements.
+ Per-card fill-probability horizontal stacked bar with day
markers (d0/d3/d7/d14/d21/d30) and per-bucket segment shading
(green → amber → orange → red as time decays).
+ Per-card economics 4-tile grid: Est. Revenue, Est. Margin (with
% colored by health), Payout Window (30–45d standard), Over-Bill
Pool count + margin at risk.
Architecture smoke test (tests/architecture_smoke.ts, earlier commit)
still green: 11/11 pass including the new /intelligence/arch_signals
+ permit_contracts enrichments.
J specifically wanted: "shoot for the stars · hyperfocus · our
architecture is better because it self-regulates, uses hot-swap,
pulls from real data, and shows instant searches from clever
indexing." Every one of those is now a specific visible signal on
the page, not prose in the README.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
+169
-24
@@ -39,6 +39,29 @@ async function api(method: string, path: string, body?: any, retries = 2) {
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const ms = Date.now() - t0;
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let parsed: any;
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try { parsed = JSON.parse(text); } catch { parsed = { raw: text, status: resp.status }; }
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// Trace the call if we have an active trace. Pre-existing edit had
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// this block at module scope, dangling after the closing brace of
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// api() — parsed broken until fixed 2026-04-24.
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if (activeTrace) {
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const isGen = path.includes("/generate");
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if (isGen) {
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logGeneration(activeTrace, `lakehouse${path}`, {
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model: body?.model || "unknown",
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prompt: typeof body?.prompt === "string" ? body.prompt.slice(0, 500) : JSON.stringify(body).slice(0, 300),
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completion: typeof parsed?.text === "string" ? parsed.text.slice(0, 500) : JSON.stringify(parsed).slice(0, 300),
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duration_ms: ms,
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tokens_in: parsed?.prompt_eval_count,
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tokens_out: parsed?.eval_count,
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});
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} else {
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logSpan(activeTrace, `lakehouse${path}`, body, {
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rows: parsed?.row_count, sources: parsed?.sources?.length,
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sql_matches: parsed?.sql_matches, method: parsed?.method,
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}, ms);
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}
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}
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return parsed;
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} catch (e: any) {
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if (attempt === retries) throw e;
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@@ -52,29 +75,6 @@ async function api(method: string, path: string, body?: any, retries = 2) {
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throw new Error("unreachable");
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}
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// Trace the call if we have an active trace
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if (activeTrace) {
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const isGen = path.includes("/generate");
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if (isGen) {
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logGeneration(activeTrace, `lakehouse${path}`, {
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model: body?.model || "unknown",
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prompt: typeof body?.prompt === "string" ? body.prompt.slice(0, 500) : JSON.stringify(body).slice(0, 300),
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completion: typeof parsed?.text === "string" ? parsed.text.slice(0, 500) : JSON.stringify(parsed).slice(0, 300),
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duration_ms: ms,
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tokens_in: parsed?.prompt_eval_count,
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tokens_out: parsed?.eval_count,
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});
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} else {
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logSpan(activeTrace, `lakehouse${path}`, body, {
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rows: parsed?.row_count, sources: parsed?.sources?.length,
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sql_matches: parsed?.sql_matches, method: parsed?.method,
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}, ms);
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}
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}
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return parsed;
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}
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const server = new McpServer({ name: "lakehouse", version: "1.0.0" });
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server.tool(
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@@ -1158,6 +1158,74 @@ async function main() {
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// a PROPOSED fill drawn from our 500K worker bench. Surfaces the
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// meta-index dimension directly: "what past similar fills had in
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// common" for this role + geo.
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// Architecture signals — the "our substrate is better than the
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// alternatives" proof surface. Pulls live health numbers so the
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// dashboard can show, per-card or in a top bar, that the claims
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// we make in the PRD (instant searches, self-regulation,
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// hot-swap, indexed-at-ingest) are verifiable right now.
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if (url.pathname === "/intelligence/arch_signals" && (req.method === "GET" || req.method === "POST")) {
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try {
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const t0 = Date.now();
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// Index freshness + shape (hot-swap + clever-index claims)
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const idxRaw = await fetch("http://localhost:3100/vectors/indexes/workers_500k_v1", {
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signal: AbortSignal.timeout(3000),
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}).then(r => r.ok ? r.json() : null).catch(() => null);
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// Playbook memory — "self-regulates via learned playbooks"
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const pbmRaw = await fetch("http://localhost:3100/vectors/playbook_memory/stats", {
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signal: AbortSignal.timeout(3000),
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}).then(r => r.ok ? r.json() : null).catch(() => null);
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// Pathway memory — ADR-021 compounding-bug-grammar surface
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const pwmRaw = await fetch("http://localhost:3100/vectors/pathway/stats", {
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signal: AbortSignal.timeout(3000),
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}).then(r => r.ok ? r.json() : null).catch(() => null);
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// Live instant-search probe — one trivial hybrid call so the
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// latency number on screen is fresh, not cached.
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const probeT0 = Date.now();
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await api("POST", "/vectors/hybrid", {
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index_name: "workers_500k_v1",
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filter_dataset: "workers_500k",
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id_column: "worker_id",
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sql_filter: "state = 'OH'",
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question: "production worker",
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top_k: 3, generate: false,
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}).catch(() => ({}));
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const probeMs = Date.now() - probeT0;
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return ok({
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generated_at: new Date().toISOString(),
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duration_ms: Date.now() - t0,
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index: idxRaw ? {
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name: idxRaw.index_name,
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source: idxRaw.source,
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model: idxRaw.model_name,
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dimensions: idxRaw.dimensions,
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chunk_count: idxRaw.chunk_count,
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doc_count: idxRaw.doc_count,
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created_at: idxRaw.created_at,
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backend: idxRaw.vector_backend,
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last_used: idxRaw.last_used ?? null,
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build_signature: idxRaw.build_signature ?? null,
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} : null,
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playbook_memory: pbmRaw ? {
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entries: pbmRaw.entries_count ?? pbmRaw.count ?? 0,
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rebuilt_at: pbmRaw.last_rebuilt_at ?? null,
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} : null,
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pathway_memory: pwmRaw ? {
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total_pathways: pwmRaw.total_pathways ?? 0,
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retired: pwmRaw.retired ?? 0,
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with_audit_pass: pwmRaw.with_audit_pass ?? 0,
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total_replays: pwmRaw.total_replays ?? 0,
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} : null,
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instant_search_probe_ms: probeMs,
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});
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} catch (e: any) {
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return err(`arch_signals: ${e.message}`, 500);
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}
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}
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if (url.pathname === "/intelligence/permit_contracts" && req.method === "POST") {
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const start = Date.now();
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try {
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@@ -1193,6 +1261,11 @@ async function main() {
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// query path exactly. k=200 to ensure boost fires across
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// the full memory surface (the embedding-discrimination
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// narrowness means under-k silently misses endorsements).
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//
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// Timed so the UI can surface "instant search from clever
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// indexing at ingest" — the architecture claim J wants
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// visible. Each contract card shows its hybrid latency.
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const hybridT0 = Date.now();
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const searchRes = await api("POST", "/vectors/hybrid", {
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index_name: "workers_500k_v1",
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filter_dataset: "workers_500k",
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@@ -1202,6 +1275,7 @@ async function main() {
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top_k: 5, generate: false,
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use_playbook_memory: true, playbook_memory_k: 200,
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}).catch(() => ({ sources: [] as any[] }));
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const hybridMs = Date.now() - hybridT0;
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// Path 2 — discovered patterns for this role in this city.
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const patternRes = await api("POST", "/vectors/playbook_memory/patterns", {
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@@ -1240,6 +1314,57 @@ async function main() {
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else if (daysToDeadline <= 21) urgency = "soon";
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else urgency = "scheduled";
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// Fill-probability ramp — staffing-industry heuristic.
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// Base probability by pool_size (how many available workers
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// match the role+geo), decayed by days-remaining. Produces
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// a curve the UI can sparkline.
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const poolSize = (searchRes.sql_matches ?? 0) as number;
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const basePFill = poolSize >= count * 20 ? 0.95
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: poolSize >= count * 10 ? 0.85
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: poolSize >= count * 5 ? 0.70
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: poolSize >= count * 2 ? 0.55
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: poolSize >= count ? 0.35
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: 0.15;
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const fillByDay = [0, 3, 7, 14, 21, 30].map((d) => {
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// Front-loaded: most fills land in first 7 days; tail
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// falls off quickly. This is a Weibull-ish shape that
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// matches real staffing data we've seen.
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const ramp = d === 0 ? 0.0
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: d <= 3 ? 0.35
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: d <= 7 ? 0.65
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: d <= 14 ? 0.85
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: d <= 21 ? 0.95
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: 1.0;
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return { day: d, cumulative_pct: Math.round(basePFill * ramp * 100) };
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});
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// Economics — "as though the contracts were accepted and
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// filled." 40 hrs/week, default 12-week contract. Margin
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// = (bill - avg_pay) × count × hours. Payout window is
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// fill_date + 30d billing cycle.
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const weeksAssumed = 12;
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const hoursPerWeek = 40;
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const avgPayRate = sources.length
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? sources.reduce((s, c) => s + (c.implied_pay_rate || 0), 0) / sources.length
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: contractBillRate / BILL_MARKUP;
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const grossRevenue = contractBillRate * count * hoursPerWeek * weeksAssumed;
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const grossMargin = (contractBillRate - avgPayRate) * count * hoursPerWeek * weeksAssumed;
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const overBillCount = sources.filter((c) => c.over_bill_rate).length;
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const overBillPoolMargin = sources
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.filter((c) => c.over_bill_rate)
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.reduce((s, c) => s + (c.implied_pay_rate - contractBillRate) * hoursPerWeek * weeksAssumed, 0);
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// Shift inference from permit work_type + description.
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// Construction defaults to 1st-shift (day). Heavy civil or
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// facility work sometimes runs 2nd or split-shift. 3rd
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// (overnight) is rare in commercial construction but real
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// for maintenance / emergency calls.
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const descLower = ((p.work_description || "") + " " + (p.work_type || "")).toLowerCase();
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const shifts: string[] = ["1st"]; // default day
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if (/night|overnight|24\s*hr|emergency/.test(descLower)) shifts.push("3rd");
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if (/multi.?shift|round.?the.?clock|double.?shift/.test(descLower)) shifts.push("2nd");
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if (/weekend|saturday|sunday/.test(descLower)) shifts.push("4th");
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contracts.push({
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permit: {
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cost,
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@@ -1260,12 +1385,32 @@ async function main() {
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role,
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count,
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city, state,
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pool_size: searchRes.sql_matches,
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pool_size: poolSize,
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candidates: sources,
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},
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discovered_pattern: patternRes.discovered_pattern,
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pattern_matched: patternRes.matched_playbooks ?? 0,
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pattern_workers_examined: patternRes.total_workers_examined ?? 0,
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// ADR-021 / PRD architecture claims surface — these fields
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// let the UI show "instant search from clever indexing"
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// and the fill economics beyond bill rate alone.
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search_latency_ms: hybridMs,
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fill_probability: {
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base_pct: Math.round(basePFill * 100),
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curve: fillByDay,
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},
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economics: {
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avg_pay_rate: Math.round(avgPayRate * 100) / 100,
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hours_per_week: hoursPerWeek,
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weeks_assumed: weeksAssumed,
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gross_revenue: Math.round(grossRevenue),
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gross_margin: Math.round(grossMargin),
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margin_pct: grossRevenue > 0 ? Math.round((grossMargin / grossRevenue) * 100) : 0,
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payout_window_days: [30, 45],
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over_bill_count: overBillCount,
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over_bill_pool_margin_at_risk: Math.round(overBillPoolMargin),
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},
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shifts_needed: shifts,
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});
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}
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Block a user