// src/workflows/enrich-leads.ts
import { getClayClient } from '../clay/instance';

interface LeadInput {
  domain: string;
  first_name: string;
  last_name: string;
  source?: string;
}

async function enrichLeadList(leads: LeadInput[]): Promise<void> {
  const clay = getClayClient();

  // Validate and deduplicate before sending
  const cleaned = leads
    .filter(l => l.domain?.includes('.') && l.first_name && l.last_name)
    .filter((l, i, arr) =>
      arr.findIndex(x => x.domain === l.domain && x.first_name === l.first_name) === i
    );

  console.log(`Sending ${cleaned.length} leads to Clay (filtered ${leads.length - cleaned.length} invalid/dupes)`);

  const result = await clay.sendBatch(cleaned, 200);
  console.log(`Sent: ${result.sent}, Failed: ${result.failed}`);

  if (result.errors.length > 0) {
    console.error('Failed rows:', result.errors);
  }
}

// Clay formula syntax (similar to spreadsheet formulas)
// Score 0-100 based on company fit

LET(
  size_score, IF(Employee Count > 500, 30, IF(Employee Count > 100, 20, IF(Employee Count > 20, 10, 0))),
  industry_score, IF(OR(Industry = "Software", Industry = "Technology", Industry = "SaaS"), 30, IF(Industry = "Financial Services", 20, 10)),
  title_score, IF(OR(CONTAINS(Job Title, "VP"), CONTAINS(Job Title, "Director"), CONTAINS(Job Title, "Head")), 25, IF(CONTAINS(Job Title, "Manager"), 15, 5)),
  email_score, IF(ISNOTEMPTY(Work Email), 15, 0),
  size_score + industry_score + title_score + email_score
)

{
  "method": "POST",
  "url": "https://api.hubapi.com/crm/v3/objects/contacts",
  "headers": {
    "Authorization": "Bearer {{HubSpot API Key}}",
    "Content-Type": "application/json"
  },
  "body": {
    "properties": {
      "email": "{{Work Email}}",
      "firstname": "{{first_name}}",
      "lastname": "{{last_name}}",
      "company": "{{Company Name}}",
      "jobtitle": "{{Job Title}}"
    }
  }
}

# Check your table's enrichment progress in the Clay UI
# Key metrics to watch:
# - Email find rate: target >60%
# - Company enrichment rate: target >85%
# - Average credits per row: target <10
# - ICP score distribution: should have clear A/B/C tiers