fixed docker

app/api/search/route.ts

@@ -39,6 +39,7 @@ const bodySchema = z.object({
 })
 
 export async function POST(request: NextRequest) {
+  let ageFilters: SerperAgeFilter | undefined
   try {
     const requestId = request.headers.get("x-request-id") ?? undefined;
     if (!(await isAuthenticatedNextjs())) {
@@ -51,7 +52,7 @@ export async function POST(request: NextRequest) {
 
     const body = await request.json()
     const { analysis, minAgeDays, maxAgeDays } = bodySchema.parse(body)
-    const ageFilters: SerperAgeFilter = {
+    ageFilters = {
       minAgeDays,
       maxAgeDays,
     }
@@ -287,15 +288,15 @@ async function analyzeOpportunities(
     const relevanceScore = Math.min(keywordScore + problemScore, 1)
 
     // Determine intent
-    let intent: Opportunity['intent'] = 'looking-for'
+    let intent: Opportunity['intent'] = 'looking'
     if (content.includes('frustrated') || content.includes('hate') || content.includes('sucks')) {
       intent = 'frustrated'
     } else if (content.includes('alternative') || content.includes('switching')) {
-      intent = 'alternative'
+      intent = 'comparing'
     } else if (content.includes('vs') || content.includes('comparison') || content.includes('better')) {
-      intent = 'comparison'
+      intent = 'comparing'
     } else if (content.includes('how to') || content.includes('fix') || content.includes('solution')) {
-      intent = 'problem-solving'
+      intent = 'learning'
     }
 
     // Find matching persona
@@ -305,16 +306,21 @@ async function analyzeOpportunities(
 
     if (relevanceScore >= 0.3) {
       opportunities.push({
+        id: result.url,
         title: result.title,
         url: result.url,
+        platform: result.source,
         source: result.source,
         snippet: result.snippet.slice(0, 300),
         relevanceScore,
-        painPoints: matchedProblems.slice(0, 3),
-        suggestedApproach: generateApproach(intent, analysis.productName),
         matchedKeywords: matchedKeywords.slice(0, 5),
+        matchedProblems: matchedProblems.slice(0, 3),
         matchedPersona,
-        intent
+        intent,
+        emotionalIntensity: intent === 'frustrated' ? 'high' : matchedProblems.length > 0 ? 'medium' : 'low',
+        status: 'new',
+        suggestedApproach: generateApproach(intent, analysis.productName),
+        softPitch: false
       })
     }
   }