@superseed/mongoose v3.0.7

@superseed/mongoose

A super-seed module that allows support for MockGenerators using mongoose schema

Install

npm install @superseed/mongoose

Usage

Example:

const { Schema } = require('mongoose');
const { Seeder, SeedJob } = require('@superseed/superseed');
const MongooseMockGenerator = require('@superseed/mongoose');
const { DataSource } = require('@superseed/core');

const ObjectId = Schema.Types.ObjectId;

class CustomSeeder extends DataSource {
  createSeeds(seeds) {
    return seeds; // ideally should save data and return values saved 
  }
}

const personSchema = {
  id: ObjectId,
  firstName: {
    type: String,
    required: true,
    lowercase: true,
    trim: true
  },
  lastName: {
    type: String,
    required: true,
    lowercase: true,
    trim: true
  },
  email: {
    type: String
  },
  birth_date: {
    type: Date
  },
  gender: {
    type: String,
    enum: ['Male', 'Female']
  }
};

const catSchema = {
  id: ObjectId,
  name: {
    type: String,
    required: true,
    lowercase: true,
    trim: true
  },
  fullName: String,
  ownerId: ObjectId
};

const options = {
  _id: { skip: true },
  email: { generator: 'email' }
};

const catOptions = {
  ownerId: {
    generator: 'hasOne',
    target: 'users',
    foreignField:'id'
  },
  fullName: {
    generator:  (db, object) => {
      const {lastName} = db.users.find(({id}) => id === object.ownerId);
      return `${object.name} ${lastName}`
    }
  }
};

const personSeedJob = new SeedJob(
  'users',
  new MongooseMockGenerator(new Schema(personSchema), options),
  new CustomSeeder()
);

const catSeedJob = new SeedJob(
  'cats',
  new MongooseMockGenerator(new Schema(catSchema), catOptions),
  new CustomSeeder()
);

const seeder = new Seeder();
seeder.addJob(personSeedJob, {count: 1})
  .addJob(catSeedJob, {count: 2});
seeder.seed().then(data => {
  console.log(data);
});

Sample Data

{
  "users":[
    {
      "id":"5d595690aa924497bb891281",
      "firstName":"blkwcs$5s%",
      "lastName":"gkwd0xh7fncad^h",
      "email":"lapkog@tu.cy",
      "birth_date":"2019-08-18T13:45:52.474Z",
      "gender":"Female"
    }
  ],
  "cats":[
    {
      "id":"5d595690aa924497bb891282",
      "name":"qf[*ek%",
      "ownerId":"5d595690aa924497bb891281",
      "_id":"5d595690aa924497bb891283",
      "fullName":"qf[*ek% gkwd0xh7fncad^h"
    },
    {
      "id":"5d595690aa924497bb891284",
      "name":"jf3inmgp",
      "ownerId":"5d595690aa924497bb891281",
      "_id":"5d595690aa924497bb891285",
      "fullName":"jf3inmgp gkwd0xh7fncad^h"
    }
  ]
}

Documentation

Methods

constructor(ModelName, mongooseSchema, options)

• ModelName: Used when a creating a mongoose model.

• mongooseSchema: A mongoose schema

• Generation options per field. Where key is the field name and value is an object.

  • options.\<fieldName>.skip : When set to true would skip the field. No data would be generated for this field.

  • options.\<fieldName>.generator \<String> or \<function>. The following generators are supported:

    • hasOne:

      • target: target entity
      • foreignField: target field

    • hasMany:

      • target: target entity
      • foreignField: target field
      • unique: If the target entity must be unique
      • min: Minimum number of entities
      • max: Minimum number of entities
      • amount: a fixed

    • email: Would generate an email.

    • A function: a function that receives as arguments
      • db: all the seeds created grouped by type
      • object: the current mock object being populated with values Another way to access these values is via this.db and this.object. Not that accessing via this would not work for arrow functions.

generateMock(db, staticField)

• db \<Object> A plain object where a key is the entity key and value is an array of entities. Is used
• staticFields \<Object> used to define that do not need dynamic data. The provided values would be used.

Mongoose versions