Update src/marketResearchAgent.js
Browse files- src/marketResearchAgent.js +74 -65
src/marketResearchAgent.js
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import crypto from "crypto";
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/* =========================================================
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PUBLIC ENTRY
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@@ -13,19 +14,78 @@ export async function marketResearchAgent({ input, provider, model }) {
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const normalizedTitle = `Global ${keyword} Market and Forecast 2026-2033`;
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/* =======================================================
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1.
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======================================================= */
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// NOTE:
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// Replace this block with a real LLM call later.
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// This placeholder is deterministic + schema-safe.
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const baseMarket2023 = randomFloat(0.5, 5.0);
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const cagr = randomFloat(8, 22);
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const market2025 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 2));
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const market2033 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 10));
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/* =======================================================
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======================================================= */
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const dashboard_view = {
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@@ -46,7 +106,7 @@ export async function marketResearchAgent({ input, provider, model }) {
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regional: buildRegions(),
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competitive
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segments: buildSegments(),
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@@ -76,7 +136,7 @@ export async function marketResearchAgent({ input, provider, model }) {
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};
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/* =======================================================
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======================================================= */
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const report_view = {
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"Personalized medicine"
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],
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competitiveLandscape:
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},
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{
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company: "Company B",
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player_markerShare_2025: 14,
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positioning: "Strong innovation focus"
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}
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],
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regulatoryEnvironment:
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"The market is regulated by stringent healthcare and data protection regulations, with increasing emphasis on patient safety and clinical validation.",
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};
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/* =======================================================
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======================================================= */
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const result = {
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report_view
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};
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/* =======================================================
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5. SCHEMA ENFORCEMENT (STEP A5)
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======================================================= */
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validateDashboard(result.dashboard_view);
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validateReport(result.report_view);
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}
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/* =========================================================
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SCHEMA VALIDATION
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========================================================= */
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function validateDashboard(d) {
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if (!d.marketTitle) throw new Error("dashboard_view.marketTitle missing");
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if (!d.marketSummary) throw new Error("dashboard_view.marketSummary missing");
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const ms = d.marketSummary;
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requireNumber(ms.past2023, "past2023");
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requireNumber(ms.current2025, "current2025");
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requireNumber(ms.forecast2033, "forecast2033");
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requireNumber(ms.cagr, "cagr");
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if (!Array.isArray(d.forecast)) throw new Error("forecast must be array");
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if (!Array.isArray(d.segments)) throw new Error("segments must be array");
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}
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function validateReport(r) {
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if (!r.marketTitle) throw new Error("report_view.marketTitle missing");
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if (!r.marketSizing) throw new Error("marketSizing missing");
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const ms = r.marketSizing;
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requireNumber(ms.pastYear_2023, "pastYear_2023");
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requireNumber(ms.currentYear_2025, "currentYear_2025");
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requireNumber(ms.forecastYear_2033, "forecastYear_2033");
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requireNumber(ms.global_cagr_Forecast, "global_cagr_Forecast");
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if (!Array.isArray(r.marketSegments)) {
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throw new Error("marketSegments must be array");
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}
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}
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/* =========================================================
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HELPERS
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========================================================= */
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function normalizeKeyword(k) {
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return k.replace(/market/gi, "").trim();
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}
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@@ -226,12 +251,6 @@ function randomFloat(min, max) {
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return round(min + Math.random() * (max - min));
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}
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function requireNumber(v, name) {
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if (typeof v !== "number" || Number.isNaN(v)) {
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throw new Error(`${name} must be a number`);
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}
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}
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function buildRegions() {
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return [
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{ region: "North America", share: 42, cagr: 14.2 },
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];
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}
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function buildTopPlayers() {
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return [
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{ company: "Company A", share: 18 },
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{ company: "Company B", share: 15 },
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{ company: "Company C", share: 12 },
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{ company: "Company D", share: 10 },
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{ company: "Company E", share: 8 }
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];
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}
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function buildSegments() {
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return [
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{
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import crypto from "crypto";
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import { callLLM } from "./llm/callLLM.js";
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/* =========================================================
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PUBLIC ENTRY
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const normalizedTitle = `Global ${keyword} Market and Forecast 2026-2033`;
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/* =======================================================
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1. CORE MARKET ESTIMATES (heuristic for now)
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======================================================= */
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const baseMarket2023 = randomFloat(0.5, 5.0);
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const cagr = randomFloat(8, 22);
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const market2025 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 2));
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const market2033 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 10));
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/* =======================================================
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2. AI-DERIVED COMPETITIVE LANDSCAPE
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======================================================= */
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const competitivePrompt = `
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You are a senior healthcare market research analyst.
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Market: ${keyword}
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Task:
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Identify the TOP 5 global companies operating in the ${keyword} market.
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Return STRICT JSON ONLY in this exact format:
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[
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{ "company": "Company Name", "share": number },
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{ "company": "Company Name", "share": number },
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{ "company": "Company Name", "share": number },
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{ "company": "Company Name", "share": number },
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{ "company": "Company Name", "share": number }
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]
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Rules:
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- Use REAL, well-known companies
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- Market share values must be realistic
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- Combined share should be ~60–70%
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- Numbers only (no % sign)
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- No explanation, no markdown
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`;
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let competitive;
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try {
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const raw = await callLLM({
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provider,
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model,
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prompt: competitivePrompt
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});
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competitive = JSON.parse(raw);
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// Validate AI output
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if (!Array.isArray(competitive) || competitive.length < 3) {
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throw new Error("Invalid competitive output");
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}
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competitive.forEach(c => {
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if (!c.company || typeof c.share !== "number") {
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throw new Error("Malformed competitive entry");
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}
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});
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} catch (e) {
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// Safe fallback (never break dashboards)
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competitive = [
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{ company: "Leading Market Player 1", share: 18 },
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{ company: "Leading Market Player 2", share: 15 },
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{ company: "Leading Market Player 3", share: 12 },
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{ company: "Leading Market Player 4", share: 10 },
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{ company: "Leading Market Player 5", share: 8 }
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];
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}
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/* =======================================================
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3. DASHBOARD VIEW
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======================================================= */
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const dashboard_view = {
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regional: buildRegions(),
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competitive,
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segments: buildSegments(),
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};
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/* =======================================================
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4. REPORT VIEW
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======================================================= */
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const report_view = {
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"Personalized medicine"
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],
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competitiveLandscape: competitive.map(c => ({
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company: c.company,
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player_markerShare_2025: c.share,
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positioning: "Established global market participant"
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})),
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regulatoryEnvironment:
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"The market is regulated by stringent healthcare and data protection regulations, with increasing emphasis on patient safety and clinical validation.",
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};
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/* =======================================================
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5. META + RETURN
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======================================================= */
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const result = {
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report_view
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};
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validateDashboard(result.dashboard_view);
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validateReport(result.report_view);
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}
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/* =========================================================
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SCHEMA VALIDATION & HELPERS (UNCHANGED)
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========================================================= */
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function validateDashboard(d) {
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if (!d.marketTitle) throw new Error("dashboard_view.marketTitle missing");
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if (!d.marketSummary) throw new Error("dashboard_view.marketSummary missing");
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}
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function validateReport(r) {
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if (!r.marketTitle) throw new Error("report_view.marketTitle missing");
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}
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function normalizeKeyword(k) {
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return k.replace(/market/gi, "").trim();
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}
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return round(min + Math.random() * (max - min));
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}
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function buildRegions() {
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return [
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{ region: "North America", share: 42, cagr: 14.2 },
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];
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}
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function buildSegments() {
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return [
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{
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