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Fetch dataset items let items: any[] = [] try { const datasetRes = await fetch( `https://api.apify.com/v2/datasets/${datasetId}/items?limit=99999`, { headers: { 'Authorization': `Bearer ${settings.apify_key}` } } ) items = await datasetRes.json() } catch (err) { console.error('[v0] Failed to fetch Apify dataset:', err) // Clear enrichment_run_id here too — dataset fetch failure is also a terminal // failure for this run, and must not leave leads permanently locked const { error: clearError } = await supabase .from('leads') .update({ enrichment_run_id: null }) .eq('campaign_id', campaignId) .eq('enrichment_run_id', runId) if (clearError) { console.error('[v0] Failed to clear enrichment_run_id after dataset fetch failure:', clearError) } const { error: updateError } = await supabase .from('campaign') .update({ status: 'error' as const, error_message: 'Failed to fetch enrichment dataset', }) .eq('id', campaignId) if (updateError) { console.error('[v0] Failed to update campaign error status:', updateError) } return NextResponse.json({ error: 'Dataset fetch failed' }, { status: 500 }) } if (!items || items.length === 0) { console.warn('[v0] No items in Apify dataset') // Empty dataset is also terminal for this run — clear the lock here too const { error: clearError } = await supabase .from('leads') .update({ enrichment_run_id: null }) .eq('campaign_id', campaignId) .eq('enrichment_run_id', runId) if (clearError) { console.error('[v0] Failed to clear enrichment_run_id after empty dataset:', clearError) } return NextResponse.json({ ok: true }) } // Build a URL → profile map // HarvestAPI returns: linkedinUrl, firstName, lastName, headline, about, location.linkedinText const profileMap = new Map() for (const p of items) { const url = p.linkedinUrl ?? p.linkedInUrl ?? p.url ?? '' if (url) profileMap.set(url.split('?')[0].replace(/\/$/, ''), p) } // Get ONLY the leads that belong to this specific run (scoped by enrichment_run_id) const { data: batchLeads, error: fetchError } = await supabase .from('leads') .select('id, raw_url') .eq('campaign_id', campaignId) .eq('enrichment_run_id', runId) .eq('pipeline_status', 'raw') if (fetchError) { console.error('[v0] Failed to fetch batch leads:', fetchError) return NextResponse.json({ error: 'Failed to fetch leads' }, { status: 500 }) } if (!batchLeads || batchLeads.length === 0) { console.warn('[v0] No leads found for enrichment run:', runId) return NextResponse.json({ ok: true }) } // Build upsert payloads — one batch call instead of N individual updates const enriched: object[] = [] const excludedIds: string[] = [] for (const lead of batchLeads) { const cleanUrl = (lead.raw_url ?? '').split('?')[0].replace(/\/$/, '') const profile = profileMap.get(cleanUrl) if (profile) { const locationText = typeof profile.location === 'object' ? profile.location?.linkedinText ?? null : profile.location ?? null enriched.push({ id: lead.id, first_name: profile.firstName ?? null, last_name: profile.lastName ?? null, headline: profile.headline ?? null, about: profile.about ?? null, location: locationText, pipeline_status: 'enriched', enrichment_run_id: null, }) } else { excludedIds.push(lead.id) } } // Perform all writes and check for errors const promises: Promise[] = [] if (enriched.length > 0) { const upsertPromise = supabase.from('leads').upsert(enriched).then(result => { if (result.error) { console.error('[v0] Failed to upsert enriched leads:', result.error) throw result.error } return result }) promises.push(upsertPromise) } if (excludedIds.length > 0) { const updatePromise = supabase .from('leads') .update({ pipeline_status: 'excluded', enrichment_run_id: null }) .in('id', excludedIds) .then(result => { if (result.error) { console.error('[v0] Failed to update excluded leads:', result.error) throw result.error } return result }) promises.push(updatePromise) } try { await Promise.all(promises) } catch (err) { console.error('[v0] Write operation failed:', err) const { error: updateError } = await supabase .from('campaign') .update({ status: 'error' as const, error_message: 'Failed to save enriched leads', }) .eq('id', campaignId) if (updateError) { console.error('[v0] Failed to update campaign error status:', updateError) } return NextResponse.json({ error: 'Failed to save enriched leads' }, { status: 500 }) } // Check remaining leads for this run const { count: remaining, error: countError } = await supabase .from('leads') .select('id', { count: 'exact', head: true }) .eq('campaign_id', campaignId) .eq('enrichment_run_id', runId) .eq('pipeline_status', 'raw') if (countError) { console.error('[v0] Failed to check remaining leads:', countError) } const done 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This prevents permanent lockouts where failed runs would block all future enrichment retries."]]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"FnPWOLz6WUlY4cR0v7Ar9pSJUbFhCfin","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"cXMxiHgFTy3Se6fMldXs8PunBmMGHCgW","type":"message","creditCost":0.02665075,"workMetrics":{"diffMap":{},"linesRead":268,"agentActions":1},"createdAt":"$D2026-06-19T20:25:31.497Z","updatedAt":"$D2026-06-19T20:26:00.148Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"so if want to implement this system for a client tell me how exactly? starting from sharing the link of this v0 chat to his v0 and deploying it there and then what?"}],"version":1},"role":"user","id":"KOfrBIgnvee8FpHAmeFywHihw6NOfZaO","attachments":[],"parentId":"FnPWOLz6WUlY4cR0v7Ar9pSJUbFhCfin","type":"message","authorId":"UGlDlWPVSIgl6DFZMjGAPScf","createdAt":"$D2026-06-19T20:47:35.545Z"},{"v0ModelId":"v0-mini","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1781902060672,"finishedAt":1781902061667,"lastPartSentAt":1781902061667,"taskNameActive":null,"id":"IF00PgTDKBAnjbRR","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The user is asking me how to implement this lead enrichment pipeline system for a client. They want to know the exact steps from sharing the v0 chat to deploying it and what comes after. Let me think through this systematically:\n\n1. Sharing the v0 chat/code\n2. Setting up the client's v0 project\n3. Database setup\n4. Environment variables and integrations\n5. Deployment\n6. Post-deployment setup and configuration\n\nThis is a straightforward question about implementation workflow, not asking me to write code. I should provide clear, step-by-step instructions."}]}}],["p",{},["text",{},"Here's the exact implementation workflow for deploying this lead enrichment pipeline to a client:"]],["h2",{},["strong",{},["text",{},"Step 1: Share & Set Up Client's v0 Project"]]],["ol",{"start":1},["li",{"index":1},["text",{},"Send the client the v0 chat link — they can open it in their account at v0.app"]],["li",{"index":2},["text",{},"Click the "],["strong",{},["text",{},"three dots"]],["text",{}," in the top-right → "],["strong",{},["text",{},"\"Download ZIP\""]],["text",{}," or "],["strong",{},["text",{},"use the shadcn CLI command"]],["text",{}," shown"]],["li",{"index":3},["p",{},["text",{},"Client either:"]],["ul",{"start":1},["li",{"index":1},["text",{},"Installs locally with the shadcn CLI and pushes to their GitHub"]],["li",{"index":2},["text",{},"Or connects their GitHub repo directly in v0 settings"]]]]],["h2",{},["strong",{},["text",{},"Step 2: Set Up Supabase Database"]]],["ol",{"start":1},["li",{"index":1},["text",{},"Client creates a "],["strong",{},["text",{},"free Supabase project"]],["text",{}," at supabase.com"]],["li",{"index":2},["text",{},"In v0 project settings (top-right), go to "],["strong",{},["text",{},"\"Integrations\""]],["text",{}," and connect "],["strong",{},["text",{},"Supabase"]]],["li",{"index":3},["p",{},["text",{},"Run the SQL migration to create tables:"]],["ul",{"start":1},["li",{"index":1},["code",{},"campaign"],["text",{}," — stores search queries, job titles, keywords, pipeline status"]],["li",{"index":2},["code",{},"leads"],["text",{}," — stores LinkedIn profiles with "],["code",{},"raw_url"],["text",{},", enrichment data, pipeline status, "],["code",{},"enrichment_run_id"]],["li",{"index":3},["code",{},"api_settings"],["text",{}," — stores API keys (Apify, Gemini)"]]]],["li",{"index":4},["text",{},"Add the "],["code",{},"enrichment_run_id"],["text",{}," column to "],["code",{},"leads"],["text",{}," table (nullable text)"]]],["h2",{},["strong",{},["text",{},"Step 3: Get & Configure API Keys"]]],["p",{},["text",{},"Client needs to sign up for and get API keys:"]],["table",{"align":[null,null,null,null]},["thead",{},["tr",{},["th",{},["text",{},"Service"]],["th",{},["text",{},"Purpose"]],["th",{},["text",{},"Where"]],["th",{},["text",{},"Cost"]]]],["tbody",{},["tr",{},["td",{},["strong",{},["text",{},"Apify"]]],["td",{},["text",{},"LinkedIn search + enrichment"]],["td",{},["text",{},"apify.com"]],["td",{},["text",{},"$$0.50-$4 per actor run"]]],["tr",{},["td",{},["strong",{},["text",{},"Gemini"]]],["td",{},["text",{},"Light filtering + qualification"]],["td",{},["text",{},"ai.google.dev"]],["td",{},["text",{},"Free tier + pay-as-you-go"]]],["tr",{},["td",{},["strong",{},["text",{},"Google Search API"]]],["td",{},["text",{},"LinkedIn search queries"]],["td",{},["text",{},"console.cloud.google.com"]],["td",{},["text",{},"$$5/month + $0.08 per query"]]]]],["ol",{"start":1},["li",{"index":1},["text",{},"In Supabase, insert into "],["code",{},"api_settings"],["text",{}," table:"]]],["Codeblock",{"lang":"sql","meta":{},"closed":true},"INSERT INTO api_settings (id, apify_key, gemini_key, google_search_key) \nVALUES (1, '[APIFY_KEY]', '[GEMINI_KEY]', '[GOOGLE_KEY]');"],["ol",{"start":2},["li",{"index":2},["p",{},["text",{},"In v0 project settings → "],["strong",{},["text",{},"\"Vars\""]],["text",{},", add environment variables:"]],["ul",{"start":1},["li",{"index":1},["code",{},"APIFY_WEBHOOK_SECRET"],["text",{}," — random string (e.g., "],["code",{},"openssl rand -base64 32"],["text",{},")"]],["li",{"index":2},["code",{},"NEXT_PUBLIC_SITE_URL"],["text",{}," — production domain (e.g., "],["code",{},"https://leads.example.com"],["text",{},")"]]]]],["h2",{},["strong",{},["text",{},"Step 4: Deploy to Vercel"]]],["ol",{"start":1},["li",{"index":1},["text",{},"In v0 top-right, click "],["strong",{},["text",{},"\"Publish\""]]],["li",{"index":2},["text",{},"Connect GitHub repo if not already connected"]],["li",{"index":3},["text",{},"Select Vercel as deployment target"]],["li",{"index":4},["text",{},"Vercel auto-deploys and provides public domain"]],["li",{"index":5},["text",{},"Update "],["code",{},"NEXT_PUBLIC_SITE_URL"],["text",{}," in v0 Vars to this domain"]]],["h2",{},["strong",{},["text",{},"Step 5: Create Frontend UI for Campaign Management"]]],["p",{},["text",{},"The code provided is API routes only. 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