Update src/marketResearchAgent.js

src/marketResearchAgent.js

@@ -10,169 +10,179 @@ export async function marketResearchAgent({ input, provider, model }) {
     throw new Error("keyword is required");
   }
 
-  const keyword = normalizeKeyword(input.keyword);
-  const normalizedTitle = `Global ${keyword} Market and Forecast 2026–2033`;
+  const marketTitle = normalizeKeyword(input.keyword);
+  const normalizedTitle = `Global ${marketTitle} Market and Forecast 2026–2033`;
 
   /* =======================================================
-     1. MARKET SIZE BASELINE (light heuristic)
+     1. MARKET SIZE BASELINE (numeric anchor)
      ======================================================= */
 
-  const baseMarket2023 = randomFloat(0.8, 6.0);
-  const cagr = randomFloat(9, 23);
-  const market2025 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 2));
-  const market2033 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 10));
+  const pastYear_2023 = randomFloat(0.8, 8.5);
+  const global_cagr_Forecast = randomFloat(6.5, 18.5);
+  const currentYear_2025 = round(
+    pastYear_2023 * Math.pow(1 + global_cagr_Forecast / 100, 2)
+  );
+  const forecastYear_2033 = round(
+    pastYear_2023 * Math.pow(1 + global_cagr_Forecast / 100, 10)
+  );
 
   /* =======================================================
-     2. SINGLE AI STRUCTURED RESEARCH CALL (CORE)
+     2. SINGLE AI RESEARCH PROMPT (MULTI-AXIS)
      ======================================================= */
 
   const researchPrompt = `
-You are a senior healthcare market research consultant.
+You are a senior healthcare market research analyst.
 
-Market: ${keyword}
+Analyze the GLOBAL market for:
+"${marketTitle}"
 
-Return STRICT JSON ONLY using the schema below.
-Do NOT include explanations, markdown, or extra text.
+Your task is to generate a comprehensive market research analysis
+segmented by ALL RELEVANT AXES applicable to this market.
+
+You MUST decide which of the following segment categories apply:
+- Products
+- Diseases / Conditions
+- Treatments
+- Technologies
+- Applications
+- End Users
+- Services
+- Geography
+
+Use ONLY the categories that are relevant to this market.
+Each selected category becomes a segment group.
+
+Return STRICT JSON ONLY in the following structure:
 
 {
-  "competitive": [
-    { "company": "Exact Company Name", "share": number }
-  ],
-  "segments": [
+  "executiveOverview": "string",
+
+  "marketSegments": [
     {
-      "segment": "Segment name",
+      "segmentCategory": "Products | Diseases | Treatments | Technologies | Applications | End Users | Services | Geography",
+      "segmentName": "Segment name",
       "subSegments": [
-        { "name": "Subsegment", "share2025": number, "cagr": number }
-      ]
+        {
+          "subSegmentName": "Sub-segment name",
+          "segmet_marketShare_2023": number,
+          "segment_marketShare_2025": number,
+          "segment_marketShare_2033": number,
+          "sub-segmentName_cagr_Forecast": number
+        }
+      ],
+      "segmentName_cagr_Forecast": number
     }
   ],
-  "drivers": [
-    { "driver": "Market driver", "impact": number }
-  ],
+
+  "marketDrivers": ["string"],
+  "emergingTrends": ["string"],
+
   "insights": {
     "largestSegment2025": "string",
     "fastestGrowingSegment": "string",
     "keyOpportunities": ["string"],
     "majorChallenges": ["string"]
   },
-  "emergingTrends": ["string"],
-  "executiveOverview": "string",
-  "futureOutlook": "string"
+
+  "competitiveLandscape": [
+    {
+      "company": "Exact Company Name",
+      "player_markerShare_2025": number,
+      "positioning": "string"
+    }
+  ],
+
+  "regulatoryEnvironment": "string",
+  "geographicAnalysis": "string",
+  "futureOutlook": "string",
+  "strategicRecommendations": ["string"]
 }
 
-RULES:
-- Use REAL, well-known companies only
-- No placeholders like Company A / Leading Player
+MANDATORY RULES:
+- Use REAL healthcare terminology
+- Segments must reflect clinical, product, or operational reality
+- Do NOT use generic placeholders (e.g. Core Products)
 - Percentages as numbers only
-- Competitive share total ≈ 60–70
-- Use realistic healthcare market logic
+- Competitive players must be real companies
+- Market shares must be realistic and internally consistent
+- No markdown, no explanations, JSON only
 `;
 
-  let ai = {};
+  let ai;
 
   try {
     const raw = await callLLM({ provider, model, prompt: researchPrompt });
-    const parsed = extractJsonObject(raw);
-
-    validateAI(parsed);
-    ai = parsed;
-
+    ai = extractJsonObject(raw);
+    validateAI(ai);
   } catch {
-    ai = {};
+    ai = null;
   }
 
   /* =======================================================
-     3. DASHBOARD VIEW (AI-FIRST, SAFE FALLBACK)
+     3. DASHBOARD VIEW (INFOGRAPHIC-READY)
      ======================================================= */
 
   const dashboard_view = {
     marketTitle: normalizedTitle,
 
     marketSummary: {
-      past2023: baseMarket2023,
-      current2025: market2025,
-      forecast2033: market2033,
-      cagr
+      past2023: pastYear_2023,
+      current2025: currentYear_2025,
+      forecast2033: forecastYear_2033,
+      cagr: global_cagr_Forecast
     },
 
     forecast: [
-      { year: "2023", value: baseMarket2023 },
-      { year: "2025", value: market2025 },
-      { year: "2033", value: market2033 }
+      { year: "2023", value: pastYear_2023 },
+      { year: "2025", value: currentYear_2025 },
+      { year: "2033", value: forecastYear_2033 }
     ],
 
-    regional: defaultRegions(),
+    marketSegments: ai?.marketSegments ?? [],
 
-    competitive: ai.competitive ?? fallbackCompetitive(keyword),
+    drivers: (ai?.marketDrivers ?? []).map(d => ({
+      driver: d,
+      impact: randomInt(70, 95)
+    })),
 
-    segments: ai.segments ?? fallbackSegments(),
+    insights: ai?.insights ?? {},
 
-    drivers: ai.drivers ?? fallbackDrivers(),
+    competitive: (ai?.competitiveLandscape ?? []).map(c => ({
+      company: c.company,
+      share: c.player_markerShare_2025
+    })),
 
-    insights: ai.insights ?? fallbackInsights(),
-
-    citation: "iHealthcareAnalyst, Inc. AI-Assisted Market Modeling",
+    citation: "AI-Assisted Healthcare Market Analysis",
     citationUrl: "https://www.ihealthcareanalyst.com"
   };
 
   /* =======================================================
-     4. REPORT VIEW (CONSULTING-GRADE)
+     4. REPORT VIEW (PDF-READY)
      ======================================================= */
 
   const report_view = {
-    marketTitle: keyword,
+    marketTitle,
+
+    marketOverview: {
+      executiveOverview: ai?.executiveOverview ?? "",
+      pastYear_2023,
+      currentYear_2025,
+      forecastYear_2033,
+      global_cagr_Forecast
+    },
 
-    marketSizing: {
-      pastYear_2023: baseMarket2023,
-      currentYear_2025: market2025,
-      forecastYear_2033: market2033,
-      global_cagr_Forecast: cagr
+    marketSegments: ai?.marketSegments ?? [],
+
+    marketDynamics: {
+      marketDrivers: ai?.marketDrivers ?? [],
+      emergingTrends: ai?.emergingTrends ?? [],
+      regulatoryEnvironment: ai?.regulatoryEnvironment ?? "",
+      geographicAnalysis: ai?.geographicAnalysis ?? "",
+      futureOutlook: ai?.futureOutlook ?? "",
+      strategicRecommendations: ai?.strategicRecommendations ?? []
     },
 
-    executiveOverview:
-      ai.executiveOverview ??
-      `The ${keyword} market is undergoing sustained expansion driven by technological innovation, increasing healthcare demand, and broader adoption across global regions.`,
-
-    marketSegments:
-      (ai.segments ?? fallbackSegments()).map(s => ({
-        segmentName: s.segment,
-        subSegments: s.subSegments.map(ss => ({
-          subSegmentName: ss.name,
-          segmet_marketShare_2023: round(ss.share2025 - 5),
-          segment_marketShare_2025: ss.share2025,
-          segment_marketShare_2033: round(ss.share2025 + 5),
-          segmentName_cagr_Forecast: ss.cagr
-        }))
-      })),
-
-    marketDrivers:
-      (ai.drivers ?? fallbackDrivers()).map(d => d.driver),
-
-    emergingTrends:
-      ai.emergingTrends ?? fallbackTrends(),
-
-    competitiveLandscape:
-      (ai.competitive ?? fallbackCompetitive(keyword)).map(c => ({
-        company: c.company,
-        player_markerShare_2025: c.share,
-        positioning: "Established global healthcare market participant"
-      })),
-
-    regulatoryEnvironment:
-      "The market is governed by stringent regulatory frameworks focused on patient safety, clinical validation, and data protection compliance.",
-
-    geographicAnalysis:
-      "North America currently leads market adoption, while Asia-Pacific is projected to register the fastest growth due to expanding healthcare infrastructure and investment.",
-
-    futureOutlook:
-      ai.futureOutlook ??
-      "The market is expected to demonstrate strong growth through 2033, supported by innovation, demographic trends, and rising healthcare expenditure.",
-
-    strategicRecommendations: [
-      "Invest in advanced and AI-enabled solutions",
-      "Expand footprint in emerging markets",
-      "Strengthen regulatory and compliance capabilities"
-    ]
+    competitiveLandscape: ai?.competitiveLandscape ?? []
   };
 
   /* =======================================================
@@ -182,7 +192,7 @@ RULES:
   return {
     meta: {
       job_id: input.job_id || `job_${crypto.randomUUID()}`,
-      keyword,
+      keyword: marketTitle,
       normalized_title: normalizedTitle,
       status: "completed",
       timestamp: new Date().toISOString(),
@@ -196,7 +206,7 @@ RULES:
 }
 
 /* =========================================================
-   VALIDATION & HELPERS
+   HELPERS & VALIDATION
 ========================================================= */
 
 function extractJsonObject(text) {
@@ -213,19 +223,10 @@ function extractJsonObject(text) {
 
 function validateAI(obj) {
   if (!obj || typeof obj !== "object") {
-    throw new Error("Invalid AI response");
+    throw new Error("Invalid AI output");
   }
-
-  if (obj.competitive) {
-    obj.competitive.forEach(c => {
-      if (
-        !c.company ||
-        typeof c.share !== "number" ||
-        /company\s?[a-z]|player|leading/i.test(c.company)
-      ) {
-        throw new Error("Invalid competitive data");
-      }
-    });
+  if (!Array.isArray(obj.marketSegments)) {
+    throw new Error("marketSegments missing");
   }
 }
 
@@ -241,72 +242,6 @@ function randomFloat(min, max) {
   return round(min + Math.random() * (max - min));
 }
 
-/* =========================================================
-   FALLBACKS (SAFE, NEVER BREAK)
-========================================================= */
-
-function fallbackCompetitive() {
-  return [
-    { company: "Johnson & Johnson", share: 18 },
-    { company: "Abbott Laboratories", share: 15 },
-    { company: "Medtronic", share: 12 },
-    { company: "Becton Dickinson", share: 10 },
-    { company: "Stryker Corporation", share: 8 }
-  ];
-}
-
-function fallbackSegments() {
-  return [
-    {
-      segment: "Core Products",
-      subSegments: [
-        { name: "Implants & Devices", share2025: 45, cagr: 17.2 },
-        { name: "Digital & AI Solutions", share2025: 35, cagr: 20.1 },
-        { name: "Associated Services", share2025: 20, cagr: 13.4 }
-      ]
-    }
-  ];
-}
-
-function fallbackDrivers() {
-  return [
-    { driver: "Rising chronic disease prevalence", impact: 90 },
-    { driver: "Technological innovation", impact: 88 },
-    { driver: "Expanding healthcare access", impact: 85 }
-  ];
-}
-
-function fallbackInsights() {
-  return {
-    largestSegment2025: "Core Products",
-    fastestGrowingSegment: "Digital & AI Solutions",
-    keyOpportunities: [
-      "Emerging markets",
-      "AI-driven diagnostics",
-      "Cost-efficient care delivery"
-    ],
-    majorChallenges: [
-      "Regulatory complexity",
-      "High capital investment",
-      "Talent shortages"
-    ]
-  };
-}
-
-function fallbackTrends() {
-  return [
-    "AI-assisted diagnostics",
-    "Minimally invasive procedures",
-    "Personalized and precision medicine"
-  ];
-}
-
-function defaultRegions() {
-  return [
-    { region: "North America", share: 42, cagr: 14.2 },
-    { region: "Europe", share: 28, cagr: 12.8 },
-    { region: "Asia Pacific", share: 22, cagr: 18.6 },
-    { region: "Latin America", share: 5, cagr: 11.3 },
-    { region: "Middle East & Africa", share: 3, cagr: 10.9 }
-  ];
+function randomInt(min, max) {
+  return Math.floor(min + Math.random() * (max - min + 1));
 }