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settee

Settee ODM

Modern JavaScript ODM for Couchbase ūüõčÔłŹ

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Settee is a modern ODM for Couchbase (and Node.js), featuring a custom query builder, and fast, easy-to-use code.

Contents

Why Settee

  • Robust, well-documented source code written in TypeScript (compiled to ES6)
  • 100% test coverage with over 100 tests
  • Includes type definitions (IDE typehint support!)
  • Custom query builder with chainable statements and paginator
  • Custom type definitions for schemas with default values
  • Unlimited nesting within schemas
  • Referenced Models
  • Powerful schema layouts with awesome Joi powered validation
  • Indexer
  • Fully Promise based code with async-await support (no more callbacks!)

Installation

To install Settee, just run the following:

$ yarn add settee
#... or npm
$ npm install settee --save

Note: This package was only tested on Node.js versions 6 and 7 or higher.

Introduction

First, you need to setup your connection to Couchbase. We have included that functionality with Settee.

import { settee, Schema, Type } from 'settee'
 
// Connect to the cluster. 
await settee.connect('127.0.0.1', 'default')
 
// Create a new schema for a Car. 
const CarSchema = new Schema('Car', {
  brand: Type.string(),
  color: Type.string()
})
 
// Build a Model 
const Car = settee.buildModel(CarSchema)
 
// Create a new Car entry in the database. 
let audi = await Car.create({
  brand: 'Audi',
  color: 'red'
})
 

Usage

This section will cover most of Settee's use cases. For more detailed API reference, click here. In our usage examples, we use car, engine and user examples to demonstrate the usage in real-world applications.

Note: Most of these examples require a connection to the Bucket. Check out settee.connect() in the API reference.

List of examples:

Defining a Schema

Schema is the core entity of Settee. It describes the structure of mapped instances and provides useful checks to ensure that only the correct entries are persisted in the cluster. Individual items in the Schema are referred to as Types. Types are mostly basic data types, such as number, object, string, etc. Check out the Types API reference for detailed overview.

Example: We want to create a schema for a car. Our car will have 3 properties: brand, topSpeed and taxPaid.

const CarSchema = new Schema('Car', {
  brand: Type.string(),
  topSpeed: Type.number(),
  taxPaid: Type.boolean(false)
})

Car's brand is a string, like Audi. Top speed is defined as number, like 192 (kph) and tax Paid is a boolean, with a default value of false. You can pass default values to any of the Types. Let's say we want all cars to be created with a top speed of a 100 kph, and we will modify them later.

const CarSchema = new Schema('Car', {
  brand: Type.string(),
  topSpeed: Type.number(100),
  taxPaid: Type.boolean(false)
})

After you set your schema, build a model from it.

const Car = settee.buildModel(CarSchema)

Car is now a Model.

Creating a new entry

To create a new entry in the database, first you have to define a Schema. We have already done that in the previous example. We now have a Car constant which is a Model. Let's create a new car:

let audi = await Car.create({
  brand: 'Audi',
  topSpeed: 220,
  taxPaid: true
})

This will store a new entry in our database. Behind the scenes, we add a docType and a docId to the entry, so it's possible to find it, edit and more. You can now access the individual properties of the entry like this:

audi.brand // "Audi" 
audi.topSpeed // 220 
audi.taxPaid // true 

Note: Create runs Couchbase Insert behind the scenes.

Modifying an entry

We have already created a car entry in the database. Let's say we didn't really pay tax and the top speed is 250. Let's edit the entry!

// audi is an Instance 
audi.topSpeed = 250
audi.taxPaid = false
 
await audi.save()

Model.save() updates an existing entry. Please note that Settee will validate the data you input, and will be rejected with an error if the data types are incorrect:

audi.topSpeed = false
audi.taxPaid = false
 
await audi.save() // gets rejected 

Creating indexes

Indexes are very useful for faster lookups. Let's say we have a lot of cars in our database, and we usually look them up by brand. Let's add an index for it, so the search is faster!

// define our schema 
const CarSchema = new Schema('Car', {
  brand: Type.string(),
  topSpeed: Type.number(),
  taxPaid: Type.boolean()
})
 
CarSchema.addIndexes({
  findByBrand: { by: 'brand' }
})

After that, we need to make sure that we build a model from our Schema, and the indexes are ready to use. We can achieve that like this:

// Build a Model from our Schema 
const Car = settee.buildModel(CarSchema)
 
// ensure that the indexes are ready 
await settee.buildIndexes()

Settee also supports multi-key index. Let's say we'd like to have faster lookups for both brand and taxPaid:

const CarSchema = new Schema('Car', {
  brand: Type.string(),
  topSpeed: Type.number(),
  taxPaid: Type.boolean()
})
 
CarSchema.addIndexes({
  findByBrand: { by: 'brand' },
  findByBrandAndTax: { by: ['brand', 'taxPaid'] }
})
 
const Car = settee.buildModel(CarSchema)
 
await settee.buildIndexes()

Note: Settee creates N1QL indexes behind the scenes.

Queries

Settee features a powerful QueryBuilder. You can do a lot with it, and to check out the full functionality, check out the QueryBuilder API reference.

Here are a few use cases of the QB. Note that calling settee.buildModel() is required for these operations.

// our Model is defined as 'Car' 
 
// This query will get you all Audi cars,  
// where top speed is greater or equal to 190 kph,  
// and tax is paid. 
let results = Car.query()
  .where('brand', 'Audi')
  .where('topSpeed', '>=', 190)
  .whereNot('taxPaid', false)
  .get()
  
// but if you only want one car entry retrieved  
let results = Car.query()
  .where('brand', 'Audi')
  .where('topSpeed', '>=', 190)
  .whereNot('taxPaid', false)
  .first()
  
// if you want to know the count of the cars matching the criteria 
let results = Car.query()
  .where('brand', 'Audi')
  .where('topSpeed', '>=', 190)
  .whereNot('taxPaid', false)
  .count()
  
// if you want to retrieve ALL cars, regardless of the criteria 
let results = Car.all()

Nested data

Nested data is useful when you want a little bit more structure with your data. In our example, we have a User schema, that contains Profile information for the user. With Settee, this can be achieved like this:

const UserSchema = {
  email: Type.string(),
  password: Type.string(),
  profile: {
    age: Type.integer(),
    names: {
      first: Type.string(),
      last: Type.string()
    }
  }
}
 
const User = settee.buildModel(UserSchema)
 
let joe = await User.create({
  email: 'joe@limedeck.io',
  password: 'hashedString',
  profile: {
    age: 26,
    names: {
      first: 'Joe',
      last: 'Persson'
    }
  }
})
 
// and you can access all the properties like usual 
joe.email // 'joe@limedeck.io' 
joe.profile.age // 26 
joe.profile.name.first // 'Joe' 
joe.profile.name.last // 'Persson' 

Referenced Models

Referenced models are useful when nesting data is not an option. Let's say you have multiple cars in your database, and their engines are relatively similar. The point of a reference is that you can reuse it in multiple different entries.

Let's build our example:

// Create our Engine Schema first. 
const EngineSchema = new Schema('Engine', {
  make: Type.string(),
  power: Type.number()
})
 
const Engine = settee.buildModel(EngineSchema)
 
// we define the Engine as Type.reference(Engine) 
const CarSchema = new Schema('Car', {
  brand: Type.string(),
  topSpeed: Type.number(),
  taxPaid: Type.boolean(),
  engine: Type.reference(Engine)
})
 
const Car = settee.buildModel(CarSchema)
 
let bmwEngine = await Engine.create({
  power: 150,
  make: 'Bayerische Motoren Werke AG'
})
 
let bmw = await Car.create({
  brand: 'BMW',
  engine: bmwEngine
})
 
// you can now access the engine directly 
bmw.brand // 'BMW' 
bmw.engine.power // 150 
bmw.engine.make // 'Bayerische Motoren Werke AG' 
 
// and you can also update the engine individually 
bmw.engine.power = 200
await bmw.engine.save()

Accessing registered models

Settee gives you access to your models from any file in your source code. There are two approaches of accessing them.

Let's say we have an index.js file:

// Create our Engine Schema first. 
const EngineSchema = new Schema('Engine', {
  make: Type.string(),
  power: Type.number()
})
 
const Engine = settee.buildModel(EngineSchema)
 
// we define the Engine as Type.reference(Engine) 
const CarSchema = new Schema('Car', {
  brand: Type.string(),
  topSpeed: Type.number(),
  taxPaid: Type.boolean(),
  engine: Type.reference(Engine)
})
 
const Car = settee.buildModel(CarSchema)
 
export { Car, Engine }

In another file, you can access the models either by importing them, or through settee.getModel(modelName):

// using direct import 
import { Car } from './index'
 
// using settee.getModel() 
let Car = settee.getModel('Car')
 
// you now have access to all Car model methods. Both approaches are equivalent. 

API

This is our public API reference. Arguments wrapped in square brackets like [argument] are required arguments. Methods that return Promises are noted with async before the method name. The return type is noted after the method's name.

Contents:

Settee

Main settee file.

Imported via:

import { settee } from 'settee'

Available Methods:

async connect([clusterUrl], [bucketName]): Bucket

Establishes the connection to the bucket. Sets an active bucket.

Arguments:

  • clusterUrl (string) - URL that points to the cluster.
  • bucketName (string) - Name of the bucket you are connecting to.

async disconnect(): void

Terminates the connection to the bucket.

useBucket([bucket]): void

Sets the active bucket.

Arguments:

  • bucket (Bucket) - Resolved and connected bucket. See typings.d.ts for reference.

getBucket(): Bucket

Provides the active bucket instance.

getStorage(): Storage

Provides the active storage instance.

buildModel([schema]): Model

Provides a model based on the schema.

Arguments:

  • schema (Schema) - instance of Schema.

registerModels([Models]): void

Registers a set of provided models. Useful when you have to reference the models after the settee.connect() method, e.g. when you have a dedicated DB class which uses models specified in separate files/modules.

Arguments:

  • Models (Model) - Array of Models

Example:

const EngineSchema = new Schema('Engine', {
  make: Type.string(),
  power: Type.number()
})
 
const Engine = settee.buildModel(EngineSchema)
 
settee.registerModels([Engine])

async buildIndexes(): boolean

Builds deferred indexes.

Available properties:

consistency

Helps you retrieve the Couchbase consistency without having to remember all the different values. Useful for N1QL operations.

Usage:

settee.consistency.NOT_BOUND
settee.consistency.REQUEST_PLUS
settee.consistency.STATEMENT_PLUS

registeredSchemas

Retrieves all registered schemas.

getModel([name]): Model

Provides a registered model. Accessible from anywhere where settee instance is available.

Arguments:

  • name (string) - Model name

Schema

Schema class.

Imported via:

import { Schema } from 'settee'

Available Methods:

constructor([name], [layout])

Schema constructor.

Arguments:

  • name (string) - Name of the schema.
  • layout (object) - Object containing Types.

useStorage([storage]): void

Sets the active storage for the schema.

Arguments:

  • storage (Storage) - Storage instance

getActiveStorage(): Storage

Provides the active storage.

getValidator(): Validator

Provides the validator instance.

addIndexes([indexes]): Schema

Adds indexes to the list.

Arguments:

  • indexes (object) - Object containing indexes. Needs to contain the by property, and it can be either a string, or an array of strings (if you want an index containing multiple keys)
let indexes = {
  findByColor: {
    by: 'color'
  },
  findByColorAndBrand: {
   by: ['color', 'brand']
  }
}

async seeIndex([name], type): boolean

Verifies if the index is present in the database.

Arguments:

  • name (string) - Name of the index you are looking up.
  • type (string) - Index type. By default, 'GSI' is used.

async dropIndex([name], options): boolean

Drops index by name.

Arguments:

  • name (string) - Name of the index.
  • options (object) - Additional options.

Types

Imported via:

import { Type } from 'settee'

Types are data types, used by Schema for ensuring data and types in the database entries are valid. The validation behind the scenes ensures you can't override a Number with a boolean by mistake, for example.

Types have an optional default value. This value will be used when creating a new entry without having to supply the value again when creating entries.

The methods for Type are static, so you can call them without having to instantiate Type, i.e.:

Type.boolean(false)
Type.string('foo')
Type.integer(42)
Type.number(3.14)
Type.array(Type.string(), ['foo', 'bar'])

These are the basic Types.

boolean(defaultValue): JoiInstance

Defaults to null when no defaultValue is supplied.

string(defaultValue): JoiInstance

Defaults to null when no defaultValue is supplied.

integer(defaultValue): JoiInstance

Defaults to null when no defaultValue is supplied.

number(defaultValue): JoiInstance

Defaults to null when no defaultValue is supplied.

Arguments:

  • defaultValue (any|Function) - Value for the corresponding data type. If the argument passed is a function, the function will be evaluated as well.

These are the special Types:

array([Type], defaultValue): JoiInstance

Defaults to [] when no defaultValue is supplied.

Arguments:

  • type (Type) - Any of the available Types.
  • defaultValue (any|Function) - Value for the corresponding data type. If the argument passed is a function, the function will be evaluated as well.

date(defaultValue): JoiInstance

Defaults to null when no defaultValue is supplied.

If a defaultValue is supplied, it returns a moment instance, so you can process it however you'd like (parse, manipulate, add, localize, etc).

Arguments:

  • defaultValue (any|Function) - Can be a ms timestamp, ISO date, or a moment instance, although using a moment instance is advised for consistency reasons.

Note: We return a moment instance in the UTC timezone.

reference([model]): JoiInstance

Reference entry type. Provides an object when saving referenced models.

Arguments:

  • model (Model) - A referred Model.

Query Builder

Not exported directly. You have to register a Schema first, in order to retrieve the Model, where the Query Builder (QB) is exposed:

import { settee, Schema } from 'settee'
 
const CarSchema = new Schema('Car', {
  brand: Type.string(),
  topSpeed: Type.number(),
  taxPaid: Type.boolean()
})
 
const Car = settee.buildModel(CarSchema)

Now you can instantiate the QB directly like Schema.query() or Schema.q() as shorthand.

Car.query() // or Car.q() 

Note: You have to call either get() or first() after your query chain. Otherwise, you will not be able to retrieve any results.

Afterwards, you will have access to these methods:

where([field], [operator], value)

Adds a WHERE clause. You can chain however many wheres you want.

Arguments:

  • field (string) - The field you are looking to match the value.
  • operator (any) - Can either be a logical operator, or a value, if you are trying to match field === value
  • value (any) - Value you're looking up to match the logical operator and the field

Examples:

Car.q().where('brand', '=', 'Audi')
 
// is the same as 
Car.q().where('brand', 'Audi')
 
Car.q().where('topSpeeed', '<=', 190)
 
// And you can chain multiple wheres as well 
Car.q()
  .where('brand', 'Audi')
  .where('topSpeeed', '<=', 190)
  .get()

Allowed operators:

'=', // equal
'==', // equal
'<', // less than
'<=', // less or equal
'>', // greater than
'>=', // greater or equal
'!=', // not equal
'<>', // not equal
'LIKE',
'like',
'NOT LIKE', 
'not like'

whereNot([field], [value])

Adds a WHERE NOT clause. You can chain however many whereNots you want.

Arguments:

  • field (string) - The field you are looking to match the value.
  • value (any) - Value you're looking up to match the whereNot clause

Example:

Car.q().whereNot('brand', 'BMW')

whereIn([field], [values])

Adds a WHERE IN clause. You can chain however many whereIns you want.

Arguments:

  • field (string) - The field you are looking to match the value.
  • value (any[]) - Value you're looking up to match the whereIn clause

Example:

Car.q().whereIn('brand', ['BMW', 'Honda'])

whereNotIn([field], [values])

Adds a WHERE NOT IN clause. You can chain however many whereNotIns you want.

Arguments:

  • field (string) - The field you are looking to match the value.
  • value (any[]) - Value you're looking up to match the whereNotIn clause

Example:

Car.q().whereNotIn('brand', ['Mercedes-Benz', 'Toyota'])

whereBetween([field], [min], [max])

Adds a WHERE BETWEEN min AND max clause. You can chain however many whereBetweens you want.

Arguments:

  • field (string) - The field you are looking to match the values.
  • min (any[]) - first (lowest => min) value of the whereBetween
  • max (any[]) - last (highest => max) value of the whereBetween

Example:

Car.q().whereBetween('topSpeed', 190, 250)

whereNotBetween([field], [min], [max])

Adds a WHERE NOT BETWEEN min AND max clause. You can chain however many whereNotBetweens you want.

Arguments:

  • field (string) - The field you are looking to match the values.
  • min (any[]) - first (lowest => min) value of the whereNotBetween
  • max (any[]) - last (highest => max) value of the whereNotBetween

Example:

Car.q().whereNotBetween('topSpeed', 180, 199)

whereNull([field])

Adds a WHERE NULL clause. You can chain however many whereNulls you want.

Arguments:

  • field (string) - The field you are looking to match the null values.

Example:

Car.q().whereNull('topSpeed')

whereNotNull([field])

Adds a WHERE NOT NULL clause. You can chain however many whereNotNulls you want.

Arguments:

  • field (string) - The field you are looking to match the null values.

Example:

Car.q().whereNotNull('topSpeed')

offset([count])

Offsets the results.

Arguments:

  • count (integer) - Number of objects to be skipped.

Example:

// will start from the 11th car 
Car.q().where('brand', 'BMW').offset(10)

limit([count])

Limits the count of the results selected by the query.

Arguments:

  • count (integer) - Number of objects to retrieve.

Example:

// will only return 5 results 
Car.q().where('brand', 'BMW').limit(5)

orderBy([field], direction)

Adds an order by clause to the query. You can add multiple orderBys to your query.

Arguments:

  • field (string) - Field you are ordering by
  • direction (string) - ASC for ascending, DESC for descending. ASC is the default value.

Example:

// ... ORDER BY brand ASC 
Car.q().orderBy('brand')
 
// ... ORDER BY brand ASC 
Car.q().orderBy('brand', 'ASC')
 
// ... ORDER BY brand DESC 
Car.q().orderBy('brand', 'DESC')

async first(fields): any

Returns the first entry from the query results.

Arguments:

  • fields (string|string[]) - Defaults to *. You can specify the fields you want to retrieve, such as:
// will run SELECT * FROM ... LIMIT 1 
let firstCar = Car.q().first()
 
// will run SELECT brand FROM ... LIMIT 1 
let firstCar = Car.q().first('brand')
 
// will run SELECT brand, topSpeed as maxSpeed FROM ... LIMIT 1 
let firstCar = Car.q().first(['brand', 'topSpeed as maxSpeed']) 
 
// will run SELECT * FROM ... WHERE brand IN ['BMW', 'Honda'] ... LIMIT 1 
let firstCar = Car.q().whereIn('brand', ['BMW', 'Honda']).first()

async count(field): number

Returns the count of entries matching the query results.

Arguments:

  • field (string|string[]) - Defaults to docType. You can specify the fields you want to retrieve, such as:
// will run SELECT COUNT(docType) as count FROM ... 
Car.q().count()
 
// will run SELECT COUNT(brand) as count FROM ... 
Car.q().count('brand')

async get(fields): any[]

Executes a query. Call this method at the end of your query chain. Returns a promise with an array of mapped instances.

Arguments:

  • fields (string|string[]) - Defaults to *. You can specify the fields you want to retrieve, such as:
// will run SELECT * FROM ... 
let results = Car.q().get()
 
// will run SELECT * FROM ... WHERE brand IN ['BMW', 'Honda'] ... 
let results = Car.q().whereIn('brand', ['BMW', 'Honda']).get()

async all(fields): any[]

Provides all entries.

Arguments:

  • fields (string|string[]) - Defaults to *. You can specify the fields you want to retrieve, such as:
// will run SELECT * FROM ... 
Car.q().all()
 
// will run SELECT brand FROM ... 
Car.q().all('brand')
 
// will run SELECT brand, topSpeed as maxSpeed FROM ... 
Car.q().all(['brand', 'topSpeed as maxSpeed']) 

async paginate(perPage, pageNumber, fields)

Paginates the results depending on the perPage count and page number.

Arguments:

  • perPage (number) - Number of entries to be retrieved per page. Defaults to 15
  • pageNumber (number) - Page number. Defaults to 1
  • fields (string|string[]) - Defaults to *. You can specify the fields you want to retrieve, such as:
// will run SELECT * FROM ... OFFSET 0 LIMIT 15 
let results = Car.q().paginate()
 
// will run SELECT brand, topSpeed FROM ... OFFSET 10 LIMIT 10 
let results = Car.q().paginate(10, 2, ['brand', 'topSpeed'])

Model

To create a Model, you need to have a defined Schema first.

// Define a new schema for a Car. 
const CarSchema = new Schema('Car', {
  brand: Type.string(),
  color: Type.string()
})
 
// Build a Model from the Schema. 
const Car = settee.buildModel(CarSchema)

The Car constant can now utilize Model methods scoped to the Car document type.

Available methods:

async create([data])

Creates a new mapped instance, and inserts the data as a single entry in the database.

Arguments:

  • data (Object) - Data to be inserted. The data will be validated against the Schema layout to prevent Type mismatch and invalid values.

Example:

let bmw = Car.create({
  brand: 'BMW',
  color: 'blue'
})  

addMethods([methods])

Adds custom methods to the model.

Arguments:

  • methods (Object) - Object containing custom functions to be added.

Example:

Car.addMethods({
  findFastestCars () {
    // 'this' context is bound to the model 
    return this.q()
      .where('topSpeed', '>', 190)
      .orderBy('topSpeed', 'DESC')
      .limit(10)
      .get()
  }
})
 
// now you can call 
let fastestCars = await Car.findFastestCars()

addInstanceMethods([methods])

Adds custom methods to the instance.

Arguments:

  • methods (Object) - Object containing custom functions to be added.

Example:

// assume we have a person model, with firstName and lastName 
Person.addInstanceMethods({
  getFullName () {
    // 'this' context is bound to the instance 
    return this.firstName + ' ' + this.lastName
  }
})
 
// now you can call this 
let joe = await Person.create({
  firstName: 'Joe',
  lastName: 'Something'
})
 
joe.getFullName() // Joe Something 

async rawQuery([query], bindings, options): Array<{}>

Executes a raw query.

Arguments:

  • query (string) - N1QL query
  • bindings (Object) - an object containing bindings
  • options (Object) - an object containing additional options

Example:

let entries = await Car.rawQuery(
  'SELECT * FROM `default` WHERE `brand` = $brand',
  bindings: {
    brand: 'BMW'
  }
)

async findRawByKey([key])

Provides a single Couchbase entry by its key.

Arguments:

  • key (string) - Raw key of the entry. Consists of docType, separator (::) and docId

Example:

let car = await Car.findRawByKey('Car::123')

async findById([id])

Provides a mapped instance by ID.

Arguments:

  • id (string) - docId of the entry

Example:

let car = await Car.findById('123')

async findMatchingKeys([keys])

Provides multiple Couchbase entries by their keys.

Arguments:

  • key (string[]) - Array of raw keys of the entries. The key for individual entries consists of docType, separator (::) and docId

Example:

let cars = await Car.findMatchingKeys(['Car::123', 'Car::456'])

async findMatchingIds([ids])

Provides multiple mapped instances by their IDs.

Arguments:

  • id (string[]) - Array of entries with their docId

Example:

let cars = await Car.findMatchingIds(['123', '456'])

async deleteById([id])

Deletes a Couchbase entry by ID.

Arguments:

  • id (string) - docId of the entry

Example:

await Car.deleteById('123')

Mapped Instance

To access the Instance methods, you need to have access to a model:

// Create a new schema for a Car. 
const CarSchema = new Schema('Car', {
  brand: Type.string(),
  color: Type.string()
})
 
// Build a Model from Schema.  
const Car = settee.buildModel(CarSchema)
 
let bmw = Car.create({
  brand: 'BMW',
  color: 'blue'
})

The bmw variable can now utilize an instance class methods.

Note: QueryBuilder methods get() and all() also return an array of instances, while first() will return a single instance.

Available methods:

getId()

Provides instance ID (UUID).

Example:

bmw.getId() // 123 

getType()

Provides instance type (derived from Schema name).

Example:

bmw.getType() // 'Car' 

getKey()

Provides instance key.

Example:

bmw.getKey() // 'Car::123' 

getCas()

Provides instance CAS.

async save(): boolean

Saves the changed instance. Changes on the instance will be validated against the Schema layout to prevent Type mismatch and invalid values.

Example:

bmw.color // 'blue' 
 
// respray to a hot pink color 
bmw.color = 'hot pink'
await bmw.save()
 
bmw.color // 'hot pink' 

async delete()

Deletes the instance, and respective entry bound to the instance from the database.

Example:

await bmw.delete() // deleted! 

getData()

Provides the latest data of the instance.

Example:

// Will be an object with these properties 
// docId: 123 
// docType: 'Car' 
// brand: 'BMW' 
// color: 'blue' 
 
let bmwData = bmw.getData()

Team

Rudolf Halas Jakub Homoly
Rudolf Halas Jakub Homoly

Contributing

Thanks for your interest in Settee! If you'd like to contribute, please read our contribution guide.

License

Settee is open-sourced software licensed under the ISC license. If you'd like to read the license agreement, click here.