loopback-datasource-juggler/docs/definition-language.md

# LoopBack Definition Language Guide

LoopBack Definition Language (LDL) is simple DSL to define data models in
JavaScript or plain JSON. With LoopBack, we often start with a model definition
which describes the structure and types of data. The model establishes common
knowledge of data in LoopBack.

## Describing a simple model

Let's start with a simple example in plain JSON.

    {
        "id": "number",
        "firstName": "string",
        "lastName": "string"
    }

The model simply defines a `user` model that consists of three properties:

* id - The user id. It's a number.
* firstName - The first name. It's a string.
* lastName - The last name. It's a string.

Each key in the JSON object defines a property in our model which will be cast
to its associated type. The simplest form of a property definition is
`propertyName: type`. The key is the name of the property and the value is the
type of the property. We'll cover more advanced form later in this guide.

LDL supports a list of built-in types, including the basic types from JSON:

* String
* Number
* Boolean
* Array
* Object

**Note**: The type name is case-insensitive, i.e., either "Number" or "number"
can be used.

The same model can also be described in JavaScript code:

    var UserDefinition = {
        id: Number,
        firstName: String,
        lastName: String
    }

As we can see, the JavaScript version is less verbose as it doesn't require
quotes for property names. The types are described using JavaScript constructors,
for example, `Number` for `"Number"`. String literals are also supported.

Now we have the definition of a model, how do we use it in LoopBack Node.js
code? It's easy, LoopBack will build a JavaScript constructor (or class) for you.

## Creating a model constructor

LDL compiles the model definition into a JavaScript constructor using
`ModelBuilder.define` APIs. ModelBuilder is the basic factory to create model
constructors.

ModelBuilder.define() method takes the following arguments:

- name: The model name
- properties: An object of property definitions
- options: An object of options, optional

Here is an example,

    var ModelBuilder = require('loopback-datasource-juggler').ModelBuilder;

    // Create an instance of the ModelBuilder
    var modelBuilder = new ModelBuilder();

    // Describe the user model
    var UserDefinition = {
        id: Number,
        firstName: String,
        lastName: String
    }

    // Compile the user model definition into a JavaScript constructor
    var User = modelBuilder.define('User', UserDefinition);

    // Create a new instance of User
    var user = new User({id: 1, firstName: 'John', lastName: 'Smith'});

    console.log(user.id); // 1
    console.log(user.firstName); // 'John'
    console.log(user.lastName); // 'Smith'


That's it. Now you have a User constructor representing the user model.

At this point, the constructor only has a set of accessors to model properties.
No behaviors have been introduced yet.

## Adding logic to a model

Models describe the shape of data. To leverage the data, we'll add logic to the
model for various purposes, such as:

- Interact with the data store for CRUD
- Add behavior around a model instance
- Add service operations using the model as the context

There are a few ways to add methods to a model constructor:

### Create the model constructor from a data source
A LoopBack data source injects methods on the model.


    var DataSource = require('loopback-datasource-juggler').DataSource;
    var ds = new DataSource('memory');

    // Compile the user model definition into a JavaScript constructor
    var User = ds.define('User', UserDefinition);

    // Create a new instance of User
    User.create({id: 1, firstName: 'John', lastName: 'Smith'}, function(err, user) {
        console.log(user); // The newly created user instance
        User.findById(1, function(err, user) {
            console.log(user); // The user instance for id 1
            user.firstName = 'John1'; // Change the property
            user.save(function(err, user) {
                console.log(user); // The modified user instance for id 1
            });
        };
    });


### Attach the model to a data source
A plain model constructor created from `ModelBuilder` can be attached a `DataSource`.


    var DataSource = require('loopback-datasource-juggler').DataSource;
    var ds = new DataSource('memory');

    User.attachTo(ds); // The CRUD methods will be mixed into the User constructor

### Manually add methods to the model constructor
Static methods can be added by declaring a function as a member of the model
constructor. Within a class method, other class methods can be called using the
model as usual.


    // Define a static method
    User.findByLastName = function(lastName, cb) {
        User.find({where: {lastName: lastName}, cb);
    };

    User.findByLastName('Smith', function(err, users) {
        console.log(users); // Print an array of user instances
    });

Instance methods can be added to the prototype. Within instance methods, the
model instance itself can be referenced with this keyword.

    // Define a prototype method
    User.prototype.getFullName = function () {
        return this.firstName + ' ' + this.lastName;
    };

    var user = new User({id: 1, firstName: 'John', lastName: 'Smith'});
    console.log(user.getFullName()); // 'John Smith'


## Exploring advanced LDL features

As we mentioned before, a complete model definition is an object with three
properties:

- name: The model name
- options: An object of options, optional
- properties: An object of property definitions

### Model level options
There are a set of options to control the model definition.

- strict:
    - true: Only properties defined in the model are accepted. Use this
    mode if you want to make sure only predefined properties are accepted.
    - false: The model will be an open model. All properties are accepted,
    including the ones that not predefined with the model. This mode is useful
    if the mobile application just wants to store free form JSON data to
    a schema-less database such as MongoDB.
    - undefined: Default to false unless the data source is backed by a
    relational database such as Oracle or MySQL.


- idInjection:
    - true: An `id` property will be added to the model automatically
    - false: No `id` property will be added to the model

- Data source specific mappings
The model can be decorated with connector-specific options to customize the
mapping between the model and the connector. For example, we can define the
corresponding schema/table names for Oracle as follows:

        {
          "name": "Location",
          "options": {
            "idInjection": false,
            "oracle": {
              "schema": "BLACKPOOL",
              "table": "LOCATION"
            }
          },
          ...
        }

### Property definitions
A model consists of a list of properties. The basic example use
`propertyName: type` to describe a property.

Properties can have options in addition to the type. LDL uses a JSON object to
describe such properties, for example:

    "id": {"type": "number", "id": true, "doc": "User ID"}

    "firstName": {"type": "string", "required": true, "oracle": {"column": "FIRST_NAME", "type": "VARCHAR(32)"}}

**Note** `"id": "number"` is a short form of `"id": {"type": "number"}`.

#### Data types
LDL supports the following data types.

  - String/Text
  - Number
  - Date
  - Boolean
  - Buffer/Binary
  - Array
  - Any/Object/JSON
  - GeoPoint

##### Array types
LDL supports array types as follows:

- `{emails: [String]}`
- `{"emails": ["String"]}`
- `{emails: [{type: String, length: 64}]}`

##### Object types
A model often has properties that consist of other properties. For example, the
user model can have an `address` property
that in turn has properties such as `street`, `city`, `state`, and `zipCode`.

LDL allows inline declaration of such properties, for example,

    var UserModel = {
        firstName: String,
        lastName: String,
        address: {
            street: String,
            city: String,
            state: String,
            zipCode: String
        },
        ...
    }

The value of the address is the definition of the `address` type, which can be
also considered as an anonymous model.

If you intend to reuse the address model, we can define it independently and
reference it in the user model. For example,

    var AddressModel = {
        street: String,
        city: String,
        state: String,
        zipCode: String
    };

    var Address = ds.define('Address', AddressModel);

    var UserModel = {
            firstName: String,
            lastName: String,
            address: 'Address',  // or address: Address
            ...
    }

    var User = ds.define('User', UserModel);

**Note**: The user model has to reference the Address constructor or the model
name - `'Address'`.


#### ID(s) for a model
A model representing data to be persisted in a database usually has one or more
properties as an id to uniquely identify the model instance. For example, the
`user` model can have user ids.

By default, if no id properties are defined and the `idInjection` of the model
options is false, LDL will automatically add an id property to the model as follows:

    id: {type: Number, generated: true, id: true}

To explicitly specify a property as `id`, LDL provides an `id` property for the
option. The value can be true, false, or a number.

- true: It's an id
- false or any falsey values: It's not an id (default)
- a positive number, such as 1 or 2: It's the index of the composite id

LDL supports the definition of a composite id that has more than one properties.
For example,

    var InventoryDefinition =
    {
        productId: {type: String, id: 1},
        locationId: {type: String, id: 2},
        qty: Number
    }

The composite id is (productId, locationId) for an inventory model.

**Note: Composite ids are NOT supported as query parameters in REST APIs yet.**

#### Property documentation
* doc: Documentation of the property

#### Constraints
Constraints are modeled as options too, for example:

* default: The default value of the property
* required: Indicate if the property is required
* pattern: A regular expression pattern that a string should match
* min/max: The minimal and maximal value
* length: The maximal length of a string


#### Conversion and formatting
Format conversions can also be declared as options, for example:

* trim: Trim the string
* lowercase: Convert the string to be lowercase
* uppercase: Convert the string to be uppercase
* format: Format a Date

#### Mapping
Data source specific mappings can be added to the property options, for example,
to map a property to be a column in Oracle database table, you can use the
following syntax:

    "oracle": {"column": "FIRST_NAME", "type": "VARCHAR", "length": 32}


### Relations between models

#### hasMany

A `hasMany` relation builds a one-to-many connection with another model. You'll
often find this relation on the "other side" of a `belongsTo` relation. This
relation indicates that each instance of the model has zero or more instances
of another model. For example, in an application containing users and posts, a
user has zero or more posts. For example,

    // setup relationships
    User.hasMany(Post,   {as: 'posts',  foreignKey: 'userId'});
    // creates instance methods:
    // user.posts(conds)
    // user.posts.build(data) // like new Post({userId: user.id});
    // user.posts.create(data) // build and save

Define all necessary stuff for `one to many` relation:

- foreign key in `many` model
- named scope in `one` model

Example:

    var Book = db.define('Book');
    var Chapter = db.define('Chapters');

    // Style 1
    Book.hasMany(Chapter, {as: 'chapters'});

    // Style 2
    Book.hasMany('chapters', {model: Chapter, foreignKey: 'chapter_id'});


Scope methods created on the base model by hasMany allows to build, create and
query instances of other class. For example,

    Book.create(function(err, book) {
        // using 'chapters' scope for build:
        var c = book.chapters.build({name: 'Chapter 1'});
        // same as:
        c = new Chapter({name: 'Chapter 1', bookId: book.id});
        // using 'chapters' scope for create:
        book.chapters.create();
        // same as:
        Chapter.create({bookId: book.id});

        // using scope for querying:
        book.chapters(function() {/* all chapters with bookId = book.id */ });
        book.chapters({where: {name: 'test'}, function(err, chapters) {
        // all chapters with bookId = book.id and name = 'test'
    });



#### belongsTo
A `belongsTo` relation sets up a one-to-one connection with another model, such
that each instance of the declaring model "belongs to" one instance of the other
model. For example, if your application includes users and posts, and each post
can be written by exactly one user.

    Post.belongsTo(User, {as: 'author', foreignKey: 'userId'});

The code above basically says Post has a reference called `author` to User using
the `userId` property of Post as the foreign key. Now we can access the author
in one of the following styles:


    post.author(callback); // Get the User object for the post author asynchronously
    post.author(); // Get the User object for the post author synchronously
    post.author(user) // Set the author to be the given user

#### hasAndBelongsToMany
A `hasAndBelongsToMany` relation creates a direct many-to-many connection with
another model, with no intervening model. For example, if your application
includes users and groups, with each group having many users and each user
appearing in many groups, you could declare the models this way,

    User.hasAndBelongsToMany('groups', {model: Group, foreignKey: 'groupId'});
    user.groups(callback); // get groups of the user
    user.groups.create(data, callback); // create a new group and connect it with the user
    user.groups.add(group, callback); // connect an existing group with the user
    user.groups.remove(group, callback); // remove the user from the group


### Extend from a base model
LDL allows a new model to extend from an existing model. For example, Customer
can extend from User as follows. The Customer model will inherit properties and
methods from the User model.

    var Customer = User.extend('customer', {
        accountId: String,
        vip: Boolean
    });

### Mix in model definitions
Some models share the common set of properties and logic around. LDL allows a
model to mix in one or more other models. For example,

    var TimeStamp = modelBuilder.define('TimeStamp', {created: Date, modified: Date});
    var Group = modelBuilder.define('Group', {groups: [String]});
    User.mixin(Group, TimeStamp);