@genially/mongoose-mimic

mongoose-mimic

mongoose-mimic is a small (but powerful) Node.js library to generate test data for Mongoose using only the schema definition.

Features

• Generate random values depending on primitive data types (string, number, boolean, date...)
• Generate random values that meet constraints (uppercase, lowercase, max...)
• Generate custom values for specific fields
• Generate custom values that match non-primitive data types for specific fields (email, phone, address...)
• Ignore specific fields
• Generate dates as object or string

Installation

npm install @genially/mongoose-mimic

Usage

mimic(model, opts)

Generates a mimetic document from model

• model: Mongoose schema object
• opts: Generation options, where the options are in the following format:

        {
          ignore: Array,
          applyFilter: Boolean,
          returnDate: Boolean,
          custom: {
             field: {
               value: Any,
               type: String
             }
          }
        }

Option	Type	Usage
ignore	Array	It can contains string paths or RegExp of fields to ignore during generation
applyFilter	Boolean	Apply lowercase, uppercase, and trim filters on generated object if defined in the path
returnDate	Boolean	Weather to return dates as Date or String
custom	Object	Special generator for specified fields
custom.field.value	Any	Specific value to generate
custom.field.type	String	Data type to generate, in the format: "type.subtype". Examples: "internet.email" or "address.city". See Faker.js methods to know all supported data types

---

Usage Example

const mongoose = require('mongoose');
const mimic = require('@genially/mongoose-mimic');
const ignoredFields = ['_id','created_at', '__v', /detail.*_info/];
const genderValues = ['Male', 'Female']
const schemaDefinition = new mongoose.Schema({
    name: {
        type: String,
        required: true,
        lowercase: true,
        trim: true
    },
    email: {
        type: String,
    },
    phones: {
        type: [String],
    }
    birth_date: {
        type: Date
    },
    gender: {
        type: String,
        enum: genderValues
    },
    data: {
        type: Object,
        default: null
    },
    results: [
        {
            score: Number,
            course: Number
        }
    ],
    is_student: {
        type: Boolean
    },
    parent: {
        type: mongoose.Schema.Types.ObjectId
    },
    detail: {
        main_info: String,
        some_info: String,
        none_match: String
    },
    created_at: {
        type: Date,
        default: Date.now
    }
});
const model = mongoose.model('Student', schemaDefinition);
const randomObject = mimic(model, {
    ignore: ignoredFields,
    returnDate: true,
    custom: {
      name: {
        value: 'Mimic',
      },
      email: {
        type: 'internet.email'
      },
      phones: {
        type: 'phone.phoneNumber'
      },
      birth_date: {
        value: () => new Date('December 25, 1995 23:15:30')
      }
    }
})
console.log(randomObject);

/* Result:
{
    "name": "Mimic",
    "data": {
        "az": {
            "name": "Kayden Oberbrunner",
            "email": "[e-mail]",
            "phone": "1-160-514-5977",
            "posts": [{
                "words": "maxime quia sit",
                "sentence": "Fuga vel in architecto ut modi sequi aliquam debitis.",
                "sentences": "Reprehenderit ratione consequuntu.."
            }, {
                "words": "dignissimos qui qui",
                "sentence": "Eveniet est unde quis sit et ab.",
                "sentences": "Sit eos quaerat aut quisquam unde..",
                "paragraph": "Quasi et numquam cumque neque rerum aliquam ullam.."
            }],
            "address": {
                "geo": {
                    "lat": "25.9144",
                    "lng": "6.0991"
                },
                "city": "Amaraville",
                "state": "Indiana",
                "streetA": "O'Conner Prairie",
                "streetB": "5722 Shane Grove",
                "streetC": "8040 Hane Roads Suite 402",
                "streetD": "Apt. 816",
                "country": "Kenya",
                "zipcode": "74052"
            },
            "website": "santina.org",
            "company": {
                "bs": "cross-platform facilitate deliverables",
                "name": "Morissette LLC",
                "catchPhrase": "Self-enabling intangible methodology"
            },
            "username": "Euna44",
            "accountHistory": [{
                "amount": "473.69",
                "date": "2012-02-01T22:00:00.000Z",
                "business": "Lang, Hudson and Heller",
                "name": "Savings Account 3906",
                "type": "invoice",
                "account": "60253551"
            }, {
                "amount": "824.69",
                "date": "2012-02-01T22:00:00.000Z",
                "business": "Rice - Price",
                "name": "Credit Card Account 8924",
                "type": "withdrawal",
                "account": "62599733"
            }]
        }
        }
    },
    "email": "[e-mail]",
    "gender": "Male",
    "parent": "59d0ff689b95b02fec446c55",
    "results": [{
        "score": 87467,
        "course": 56396
    }, {
        "score": 728,
        "course": 80047
    }],
    "birth_date": "1995-12-25T22:15:30.000Z",
    "phones": [
      '[phone]',
      '[phone]',
      '[phone] x9541',
      '[phone] x99775',
      '1-088-666-8801 x6452',
      '1-125-206-1792',
      '607.384.4536',
      '228.058.0088 x91535'
    ]
    "is_student": true,
    "detail": {
        "none_match": "Eugenia_Kuvalis"
    }
}*/

Testing

To run the test cases use npm test

Related libraries

mongoose-mimic API is inspired by mongoose-dummy, which provides a more limited capability to customize generated values.

Other similar libraries to generate test data for Mongoose are:

• mongoose-faker
• @lykmapipo/mongoose-faker
• Fakegoose

License

Licensed under MIT

Changelog

[1.0.0] - 2019-07-03

Added

• First version.