5.5 KiB
Sharkitek
Documentation | Website
TypeScript library for well-designed model architectures
Introduction
Sharkitek is a Javascript / TypeScript library designed to ease development of client-side models.
With Sharkitek, you define the architecture of your models by specifying their properties and their types.
Then, you can use the defined methods like serialize
, deserialize
, save
or serializeDiff
.
class Example extends s.model({
id: s.property.numeric(),
name: s.property.string(),
})
{
}
Examples
Simple model definition
/**
* A person.
*/
class Person extends s.model({
id: s.property.numeric(),
name: s.property.string(),
firstName: s.property.string(),
email: s.property.string(),
createdAt: s.property.date(),
active: s.property.boolean(),
}, "id")
{
active: boolean = true;
}
/**
* An article.
*/
class Article extends s.model({
id: s.property.numeric(),
title: s.property.string(),
authors: s.property.array(s.property.model(Author)),
text: s.property.string(),
evaluation: s.property.decimal(),
tags: s.property.array(
s.property.object({
name: s.property.string(),
})
),
}, "id")
{
id: number;
title: string;
authors: Author[] = [];
text: string;
evaluation: number;
tags: {
name: string;
}[];
}
API
Types
Types are defined by a class extending Type
.
Sharkitek defines some basic types by default, in these classes:
BoolType
: boolean value in the model, boolean value in the serialized object.StringType
: string in the model, string in the serialized object.NumericType
: number in the model, number in the serialized object.DecimalType
: number in the model, formatted string in the serialized object.DateType
: date in the model, ISO formatted date in the serialized object.ArrayType
: array in the model, array in the serialized object.ObjectType
: object in the model, object in the serialized object.ModelType
: instance of a specific class in the model, object in the serialized object.
When you are defining a property of a Sharkitek model, you must provide its type by instantiating one of these classes.
class Example extends s.model({
foo: s.property.define(new StringType()),
})
{
foo: string;
}
To ease the use of these classes and reduce read complexity, properties of each type are easily definable with a function for each type.
BoolType
=>s.property.boolean
StringType
=>s.property.string
NumericType
=>s.property.numeric
DecimalType
=>s.property.decimal
DateType
=>s.property.date
ArrayType
=>s.property.array
ObjectType
=>s.property.object
ModelType
=>s.property.model
Type implementers should provide a corresponding function for each defined type. They can even provide
multiple functions or constants with predefined parameters.
(For example, we could define s.property.stringArray()
which would be similar to s.property.array(s.property.string())
.)
class Example extends s.model({
foo: s.property.string(),
})
{
foo: string;
}
Models
serialize()
Serialize the model.
Example:
const serializedObject = model.serialize();
deserialize(serializedObject)
Deserialize the model.
Example:
const model = (new TestModel()).deserialize({
id: 5,
title: "Hello World!",
users: [
{
id: 6,
name: "TEST",
},
],
});
serializeDiff()
Serialize the difference between current model state and original one.
Example:
const model = (new TestModel()).deserialize({
id: 5,
title: "Hello World!",
users: [
{
id: 6,
name: "TEST",
},
],
});
model.title = "A new title for a new world";
const result = model.serializeDiff();
// if `id` is defined as the model identifier:
// result = { id: 5, title: "A new title for a new world" }
// if `id` is not defined as the model identifier:
// result = { title: "A new title for a new world" }
resetDiff()
Set current properties values as original values.
Example:
const model = (new TestModel()).deserialize({
id: 5,
title: "Hello World!",
users: [
{
id: 6,
name: "TEST",
},
],
});
model.title = "A new title for a new world";
model.resetDiff();
const result = model.serializeDiff();
// if `id` is defined as the model identifier:
// result = { id: 5 }
// if `id` is not defined as the model identifier:
// result = {}
save()
Get difference between original values and current ones, then reset it.
Similar to call serializeDiff()
then resetDiff()
.
const model = (new TestModel()).deserialize({
id: 5,
title: "Hello World!",
users: [
{
id: 6,
name: "TEST",
},
],
});
model.title = "A new title for a new world";
const result = model.save();
// if `id` is defined as the model identifier:
// result = { id: 5, title: "A new title for a new world" }
// if `id` is not defined as the model identifier:
// result = { title: "A new title for a new world" }