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270 lines
7.5 KiB
TypeScript
270 lines
7.5 KiB
TypeScript
/**
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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 { companiesFindTool } from '@/tools/hunter/companies_find'
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import { discoverTool } from '@/tools/hunter/discover'
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import { domainSearchTool } from '@/tools/hunter/domain_search'
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import { emailFinderTool } from '@/tools/hunter/email_finder'
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const respond = (body: unknown) => new Response(JSON.stringify(body))
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describe('hunter domain_search', () => {
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const transform = domainSearchTool.transformResponse!
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it('maps the documented response shape', async () => {
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const result = await transform(
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respond({
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data: {
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domain: 'stripe.com',
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disposable: false,
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webmail: false,
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accept_all: true,
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pattern: '{first}',
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organization: 'Stripe',
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linked_domains: ['stripe.io'],
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emails: [
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{
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value: 'patrick@stripe.com',
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type: 'personal',
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confidence: 92,
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first_name: 'Patrick',
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last_name: 'Collison',
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position: 'CEO',
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seniority: 'executive',
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department: 'executive',
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linkedin: null,
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twitter: 'patrickc',
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phone_number: null,
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sources: [],
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verification: { date: '2024-01-01', status: 'valid' },
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},
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],
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},
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})
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)
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expect(result.success).toBe(true)
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expect(result.output.domain).toBe('stripe.com')
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expect(result.output.linked_domains).toEqual(['stripe.io'])
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expect(result.output.emails).toHaveLength(1)
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expect(result.output.emails[0]).toMatchObject({
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value: 'patrick@stripe.com',
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first_name: 'Patrick',
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twitter: 'patrickc',
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verification: { status: 'valid' },
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})
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})
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it('returns safe defaults when fields are missing', async () => {
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const result = await transform(respond({ data: null }))
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expect(result.output).toMatchObject({
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domain: '',
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disposable: false,
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webmail: false,
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accept_all: false,
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pattern: '',
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organization: '',
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linked_domains: [],
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emails: [],
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})
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})
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it('nullifies missing optional email fields', async () => {
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const result = await transform(
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respond({
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data: {
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emails: [{ value: 'a@b.com', type: 'generic', confidence: 50 }],
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},
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})
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)
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expect(result.output.emails[0]).toMatchObject({
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first_name: null,
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last_name: null,
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position: null,
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linkedin: null,
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verification: { status: 'unknown' },
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})
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})
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})
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describe('hunter email_finder', () => {
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const transform = emailFinderTool.transformResponse!
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it('extracts the documented finder fields', async () => {
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const result = await transform(
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respond({
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data: {
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first_name: 'Alex',
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last_name: 'Smith',
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email: 'alex@acme.com',
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score: 85,
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domain: 'acme.com',
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accept_all: false,
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position: 'Engineer',
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twitter: null,
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linkedin_url: 'https://linkedin.com/in/alex',
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phone_number: null,
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company: 'Acme',
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sources: [],
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verification: { date: null, status: 'valid' },
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},
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})
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)
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expect(result.output).toMatchObject({
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first_name: 'Alex',
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email: 'alex@acme.com',
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score: 85,
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linkedin_url: 'https://linkedin.com/in/alex',
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company: 'Acme',
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verification: { status: 'valid' },
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})
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})
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it('falls back to safe defaults', async () => {
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const result = await transform(respond({ data: {} }))
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expect(result.output).toMatchObject({
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email: '',
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score: 0,
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accept_all: false,
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sources: [],
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verification: { date: null, status: 'unknown' },
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})
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})
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})
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describe('hunter discover', () => {
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const transform = discoverTool.transformResponse!
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it('maps documented data array shape', async () => {
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const result = await transform(
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respond({
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data: [
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{
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domain: 'hunter.io',
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organization: 'Hunter',
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emails_count: { personal: 23, generic: 5, total: 28 },
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},
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],
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})
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)
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expect(result.output.results).toEqual([
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{
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domain: 'hunter.io',
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organization: 'Hunter',
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personal_emails: 23,
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generic_emails: 5,
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total_emails: 28,
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},
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])
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})
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it('returns empty array when data is missing', async () => {
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const result = await transform(respond({}))
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expect(result.output.results).toEqual([])
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})
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it('falls back to zero counts when emails_count is missing', async () => {
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const result = await transform(
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respond({ data: [{ domain: 'acme.com', organization: 'Acme' }] })
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)
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expect(result.output.results[0]).toEqual({
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domain: 'acme.com',
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organization: 'Acme',
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personal_emails: 0,
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generic_emails: 0,
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total_emails: 0,
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})
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})
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it('throws when no search params provided', () => {
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const buildUrl = discoverTool.request.url as (p: Record<string, unknown>) => string
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expect(() => buildUrl({ apiKey: 'k' })).toThrow(/At least one search parameter/)
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})
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it('builds body per docs (headcount as plain array, technology wrapped)', () => {
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const buildBody = discoverTool.request.body as (
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p: Record<string, unknown>
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) => Record<string, unknown>
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const body = buildBody({ apiKey: 'k', headcount: '11-50', technology: 'react' })
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expect(body).toEqual({
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headcount: ['11-50'],
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technology: { include: ['react'] },
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})
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})
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})
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describe('hunter companies_find', () => {
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const transform = companiesFindTool.transformResponse!
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it('flattens nested company fields', async () => {
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const result = await transform(
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respond({
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data: {
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name: 'Stripe',
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domain: 'stripe.com',
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description: 'Payments',
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category: { industry: 'Fintech', sector: 'Software' },
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metrics: { employees: '1000+' },
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foundedYear: 2010,
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location: 'San Francisco, CA',
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geo: { country: 'United States', countryCode: 'US', state: 'CA', city: 'SF' },
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linkedin: { handle: 'company/stripe' },
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twitter: { handle: 'stripe' },
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facebook: { handle: 'stripe' },
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logo: 'https://logo.png',
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phone: '+1-555',
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tech: ['react', 'node'],
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},
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})
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)
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expect(result.output).toEqual({
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name: 'Stripe',
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domain: 'stripe.com',
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description: 'Payments',
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industry: 'Fintech',
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sector: 'Software',
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size: '1000+',
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founded_year: 2010,
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location: 'San Francisco, CA',
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country: 'United States',
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country_code: 'US',
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state: 'CA',
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city: 'SF',
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linkedin: 'company/stripe',
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twitter: 'stripe',
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facebook: 'stripe',
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logo: 'https://logo.png',
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phone: '+1-555',
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tech: ['react', 'node'],
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})
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})
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it('prefers employeesRange and coerces numeric employees', async () => {
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const rangeResult = await transform(
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respond({ data: { metrics: { employees: 5432, employeesRange: '1001-5000' } } })
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)
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expect(rangeResult.output.size).toBe('1001-5000')
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const numericResult = await transform(respond({ data: { metrics: { employees: 5432 } } }))
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expect(numericResult.output.size).toBe('5432')
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})
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it('survives missing nested objects', async () => {
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const result = await transform(respond({ data: {} }))
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expect(result.output).toMatchObject({
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name: '',
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industry: '',
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sector: '',
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size: '',
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country: '',
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linkedin: '',
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tech: [],
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founded_year: null,
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})
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})
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})
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