chore: import upstream snapshot with attribution
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/**
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* @vitest-environment node
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*/
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import { describe, expect, it } from 'vitest'
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import { companyInfoEnrichment } from '@/enrichments/company-info/company-info'
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import type { EnrichmentProvider } from '@/enrichments/types'
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function provider(id: string): EnrichmentProvider {
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const p = companyInfoEnrichment.providers.find((x) => x.id === id)
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if (!p) throw new Error(`Provider ${id} not found in company-info cascade`)
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return p
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}
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const domainInput = { domain: 'https://www.acme.com/about' }
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describe('company-info enrichment cascade', () => {
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it('chains the company-info providers in waterfall order', () => {
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expect(companyInfoEnrichment.providers.map((p) => p.id)).toEqual([
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'hunter',
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'pdl',
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'datagma',
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'leadmagic',
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])
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})
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describe('hunter', () => {
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const p = provider('hunter')
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it('normalizes the domain and maps size/description', () => {
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expect(p.toolId).toBe('hunter_companies_find')
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expect(p.buildParams(domainInput)).toEqual({ domain: 'acme.com' })
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expect(p.buildParams({ domain: '' })).toBeNull()
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expect(p.mapOutput({ size: '11-50', description: 'Payments' })).toEqual({
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employeeCount: '11-50',
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description: 'Payments',
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})
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expect(p.mapOutput({})).toEqual({})
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})
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})
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describe('datagma', () => {
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const p = provider('datagma')
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it('passes the normalized domain as data and maps companySize/shortDescription', () => {
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expect(p.toolId).toBe('datagma_enrich_company')
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expect(p.buildParams(domainInput)).toEqual({ data: 'acme.com' })
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expect(p.buildParams({ domain: '' })).toBeNull()
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expect(p.mapOutput({ companySize: '11-50', shortDescription: 'Payments' })).toEqual({
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employeeCount: '11-50',
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description: 'Payments',
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})
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expect(p.mapOutput({})).toEqual({})
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})
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})
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describe('leadmagic', () => {
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const p = provider('leadmagic')
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it('searches by domain and prefers the headcount range', () => {
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expect(p.toolId).toBe('leadmagic_company_search')
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expect(p.buildParams(domainInput)).toEqual({ company_domain: 'acme.com' })
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expect(p.buildParams({ domain: '' })).toBeNull()
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expect(
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p.mapOutput({ employeeRange: '11-50', employeeCount: 42, description: 'Pay' })
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).toEqual({ employeeCount: '11-50', description: 'Pay' })
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expect(p.mapOutput({ employeeCount: 42 })).toEqual({ employeeCount: '42' })
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expect(p.mapOutput({})).toEqual({})
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})
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})
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})
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@@ -0,0 +1,94 @@
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import { filterUndefined } from '@sim/utils/object'
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import { Building2 } from 'lucide-react'
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import { normalizeDomain, str, toolProvider } from '@/enrichments/providers'
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import type { EnrichmentConfig } from '@/enrichments/types'
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/**
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* Company Info enrichment. Looks up a company by domain, trying Hunter first
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* (free) then People Data Labs, then Datagma and LeadMagic as fallbacks. Outputs
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* are limited to the fields the providers reliably return — employee count and
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* description — so the result stays consistent regardless of which provider fills
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* the cell. `employeeCount` is a string so Hunter's range bucket (e.g. `"11-50"`),
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* PDL's exact count, and LeadMagic's range all map onto the same column.
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*/
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export const companyInfoEnrichment: EnrichmentConfig = {
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id: 'company-info',
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name: 'Company Info',
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description: "Look up a company's size and description from its domain.",
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icon: Building2,
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inputs: [{ id: 'domain', name: 'Company domain', type: 'string', required: true }],
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outputs: [
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{ id: 'employeeCount', name: 'employee count', type: 'string' },
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{ id: 'description', name: 'description', type: 'string' },
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],
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providers: [
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toolProvider({
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id: 'hunter',
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label: 'Hunter',
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toolId: 'hunter_companies_find',
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buildParams: (inputs) => {
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const domain = normalizeDomain(inputs.domain)
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if (!domain) return null
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return { domain }
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},
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mapOutput: (output) => {
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return filterUndefined({
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employeeCount: str(output.size) || undefined,
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description: str(output.description) || undefined,
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})
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},
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}),
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toolProvider({
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id: 'pdl',
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label: 'People Data Labs',
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toolId: 'pdl_company_enrich',
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buildParams: (inputs) => {
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const website = normalizeDomain(inputs.domain)
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if (!website) return null
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// `required` makes PDL 404 (free) when neither field we extract is
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// present, instead of charging a credit for a match we'd discard.
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return { website, required: 'employee_count OR summary' }
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},
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mapOutput: (output) => {
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const company = output.company as Record<string, unknown> | undefined
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return filterUndefined({
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employeeCount: str(company?.employee_count) || undefined,
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description: str(company?.summary) || undefined,
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})
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},
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}),
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toolProvider({
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id: 'datagma',
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label: 'Datagma',
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toolId: 'datagma_enrich_company',
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buildParams: (inputs) => {
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const data = normalizeDomain(inputs.domain)
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if (!data) return null
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return { data }
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},
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mapOutput: (output) => {
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return filterUndefined({
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employeeCount: str(output.companySize) || undefined,
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description: str(output.shortDescription) || undefined,
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})
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},
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}),
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toolProvider({
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id: 'leadmagic',
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label: 'LeadMagic',
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toolId: 'leadmagic_company_search',
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buildParams: (inputs) => {
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const companyDomain = normalizeDomain(inputs.domain)
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if (!companyDomain) return null
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return { company_domain: companyDomain }
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},
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mapOutput: (output) => {
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// Prefer the headcount range to match Hunter's bucket style; fall back to the exact count.
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return filterUndefined({
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employeeCount: str(output.employeeRange) || str(output.employeeCount) || undefined,
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description: str(output.description) || undefined,
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})
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},
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}),
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],
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}
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@@ -0,0 +1 @@
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export { companyInfoEnrichment } from './company-info'
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