socimind-faker.js

const faker = require('faker');

function generateSocimindProfile() {
  const profile = {
    user_id: faker.random.uuid(),
    name: `${faker.name.firstName()} ${faker.name.lastName()}`,
    email: faker.internet.email(),
    gender: faker.random.arrayElement(['male', 'female', 'non-binary']),
    age: faker.random.number({min: 18, max: 65}),
    location: {
      city: faker.address.city(),
      state: faker.address.state(),
      country: faker.address.country()
    },
    interests: [
      faker.random.arrayElement(['yoga', 'hiking', 'travel', 'cooking', 'reading', 'music', 'art', 'sports']),
      faker.random.arrayElement(['yoga', 'hiking', 'travel', 'cooking', 'reading', 'music', 'art', 'sports']),
      faker.random.arrayElement(['yoga', 'hiking', 'travel', 'cooking', 'reading', 'music', 'art', 'sports'])
    ],
    behavior: {
      content_views: faker.random.number({min: 1, max: 500}),
      content_likes: faker.random.number({min: 1, max: 100}),
      content_shares: faker.random.number({min: 0, max: 20}),
      follows: faker.random.number({min: 0, max: 50}),
      unfollows: faker.random.number({min: 0, max: 10}),
      in_app_purchases: faker.random.number({min: 0, max: 10})
    },
    predictive_traits: {
      likelihood_to_engage_with_ad: faker.random.number({min: 0, max: 1, precision: 0.01}),
      likelihood_to_follow_yoga_influencers: faker.random.number({min: 0, max: 1, precision: 0.01}),
      likelihood_to_share_travel_content: faker.random.number({min: 0, max: 1, precision: 0.01})
    },
    ltv: faker.random.number({min: 50, max: 500}),
    cac: faker.random.number({min: 10, max: 100})
  };

  return profile;
}