synthd

Synthetic data generation system.

This is changing frequently, do not expect this to be stable until v0.1.0.

What we're building

Teams need the ability to generate and store generated data at scale. synthd has a few goals:

1. An SDK for generating test data.
2. A CLI command for generating data from JSON definitions.
3. A CLI command for generating JSON definitions from Mongo and SQL example data.

This allows quality engineers, and developers in general, to develop a substantial amount of data in order to teat functionality at scale, all with a minimum of effort.

Examples

JSON test data

(From examples-sdk/inocula/users).

import {
    Generatable,
    JSONSerializer,
} from '../../src';

import {
    Date,
    Email,
    FirstName,
    LastName,
    LinkedField,
    MongoObjectID,
    UUID,
} from '../../src/fields';

const User = new Generatable('user', [
    new MongoObjectID('_id'),
    new FirstName('firstName'),
    new LastName('lastName'),
    new Email('email'),
]);

const Session = new Generatable('session', [
    new UUID('sessionID'),
    new Date('createdAt', {
        past: true,
    }),
    new LinkedField('userID', {
        obj: User,
        field: '_id',
    })
]);

console.log(User.generate(5).map((v) => v.serialize(JSONSerializer)));
console.log(Session.generate(20).map((v) => v.serialize(JSONSerializer)));

Storing test data in Mongo

# <Example to be added>