mongoose-dummy 1.0.8

mongoose-dummy is an automatic dummy object generator for mongoose using only the schema definition built for Node.js.

Installation

• Latest release:

  npm install mongoose-dummy

Usage

dummy(model, opts)

Generates dummy object from model

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

        {
          ignore: Array,
          autoDetect: Boolean,
          applyFilter: Boolean,
          returnDate: Boolean,
          custom: {
             email: [String, Array, Object],
             phone: [String, Array, Object],
             password: [String, Array, Object]
          }
        }

| Option | Type | Usage | | :------: | ------ | ------ | | ignore | Array | It can contains string paths or RegExp of fields to ignore during generation | | autoDetect | Boolean | Attempt to detect e-mail, phone, or password and generate corresponding random data, defaults to true | | 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.email | String, Array, or Object | String (field to generate a random e-mails), Array of Strings (fields to generate a random e-mail), or Object {field: String or Array of String, value: Function (custom generator function)} | custom.phone | String, Array, or Object | String (field to generate a random phones), Array of Strings (fields to generate a random phone), or Object {field: String or Array of String, value: Function (custom generator function)} | custom.password | String, Array, or Object | String (field to generate a random passwords), Array of Strings (fields to generate a random password), or Object {field: String or Array of String, value: Function (custom generator function)} | force | Object | paths to set it to certain values |

dummy.getPaths(model)

Helper function to extract all paths definition from model.

Usage Example

const mongoose = require('mongoose');
const dummy = require('mongoose-dummy');
const ignoredFields = ['_id','created_at', '__v', /detail.*_info/];
let genderValues = ['Male', 'Female']
let schemaDefinition = new mongoose.Schema({
    name: {
        type: String,
        required: true,
        lowercase: true,
        trim: true
    },
    email: {
        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
    }
});
let model = mongoose.model('Student', schemaDefinition);
let randomObject = dummy(model, {
    ignore: ignoredFields,
    returnDate: true
})
console.log(randomObject);

/* Result:
{
    "name": "lyda.renner84",
    "data": {
        "de_AT": {
            "name": "Josianne Bins",
            "email": "[email protected]",
            "phone": "198.514.9229 x60299",
            "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": "garnett.net",
            "company": {
                "bs": "cross-platform facilitate deliverables",
                "name": "Morissette LLC",
                "catchPhrase": "Self-enabling intangible methodology"
            },
            "username": "Emanuel.Botsford37",
            "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": "[email protected]",
    "gender": "Male",
    "parent": "59d0ff689b95b02fec446c55",
    "results": [{
        "score": 61,
        "course": 51
    }, {
        "score": 38,
        "course": 63
    }],
    "birth_date": "2017-09-30T14:57:01.279Z",
    "is_student": true,
    "detail": {
        "none_match": "Wade_Robel"
    }
}*/

Testing

To run the test cases use npm test

License

Licensed under MIT

Author

Feel free to Contact us and improve the code.