1000-fake-users

Put these 1000 or even more fake users into a db to test your starter project.
You can easily add or modify the attributes.
Uses Faker.js.
Uses weighted values and normal distribution algorithm to generate realistic data.

How to run

To install dependencies:

bun install

1000-fake-users

bun run src/index.ts

Generic user data without being localized.

Attributes	Description
_id	uuid
email	no duplicates, contains first name
password	not encrypted
username	first name only, can tell sex, allow duplidates
sex	two values, male and female
dob	yyyy-mm-dd, has range, but no normalization
height	cm, with normal distribution, related to sex
weight	kg, with normal distribution, related to sex
currentLocation	countries
fromLocation	countries
jobTitle	random
bloodType	weighted
mbti	random
relationshipStatus	weighted
zodiacSign	computed from dob

1000-fake-users-usa

bun run src/usa.ts

Localized, different from 1000-fake-users in the following:

Attributes	Description
email	no duplicates, contains first name and last name
firstname	has firstname, can tell sex
lastname	has lastname
gender	male, female, other
dob	US styled, has range, but no normalization
height	foot, with normal distribution, related to sex
weight	pound, with normal distribution, related to sex
currentLocation	US state names or abroad

1000-fake-users-china

bun run src/china.ts

经过本地化处理，与 1000-fake-users 的不同处在于：

Attributes	Description
email	随机，不包含名字
username	中文姓和随机数字
currentLocation	省市区，包含港澳台地区，部分海外地区
fromLocation	省市区，包含港澳台地区，部分海外地区

Considerations

Ways of creating weighted data:

1. Plain

const currentLocation = Math.random() > 0.2 ? faker.location.state() : 'Abroad'

2. Create const and type together

export const relationshipStatusWeighted = [
	{ value: 'Single', weight: 80 },
	{ value: 'Divorced', weight: 15 },
	{ value: 'Widowed', weight: 5 },
] as const

export type RelationshipStatus = (typeof relationshipStatusWeighted)[number]['value']

const relationshipStatus = faker.helpers.weightedArrayElement(relationshipStatusWeighted)

3. faker inside faker

const sex = faker.person.sexType()

const gender = faker.helpers.weightedArrayElement([
  { weight: 90, value: sex },
  { weight: 10, value: 'other' },
])

Todos:

• us, china emails can have duplicates
• add empty values
• 中文用户名方案 - 汉字数字混合？
• 海外地区方案 包含所有国家？
• re arrange column order
• add test

Change logs

index - create emails seperately - no duplicates - does not match name usa - fn+ln+random - low chance duplicates china

email
一定要唯一 名字一定能看出性别

email unique 问题：跟 username 不合拍 email unique + username 从 email 中来 问题：username 跟性别不一致 email uuid 问题：不完全 unique - 检查