Change README for 3.0.0.

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README.md
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@ -1,25 +1,20 @@
# Sharkitek Core
![Version 3.0.0](https://img.shields.io/badge/version-3.0.0-blue)
## 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` or `serializeDiff`.
Then, you can use the defined methods like `serialize`, `deserialize`, `save` or `serializeDiff`.
```typescript
class Example extends Model<Example>
class Example extends s.model({
id: s.property.numeric(),
name: s.property.string(),
})
{
id: number;
name: string;
protected SDefinition(): ModelDefinition<Example>
{
return {
id: SDefine(SNumeric),
name: SDefine(SString),
};
}
}
```
@ -31,30 +26,16 @@ class Example extends Model<Example>
/**
* A person.
*/
class Person extends Model<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")
{
id: number;
name: string;
firstName: string;
email: string;
createdAt: Date;
active: boolean = true;
protected SIdentifier(): ModelIdentifier<Person>
{
return "id";
}
protected SDefinition(): ModelDefinition<Person>
{
return {
name: SDefine(SString),
firstName: SDefine(SString),
email: SDefine(SString),
createdAt: SDefine(SDate),
active: SDefine(SBool),
};
}
}
```
@ -62,29 +43,27 @@ class Person extends Model<Person>
/**
* An article.
*/
class Article extends Model<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;
protected SIdentifier(): ModelIdentifier<Article>
{
return "id";
}
protected SDefinition(): ModelDefinition<Article>
{
return {
id: SDefine(SNumeric),
title: SDefine(SString),
authors: SDefine(SArray(SModel(Author))),
text: SDefine(SString),
evaluation: SDefine(SDecimal),
};
}
tags: {
name: string;
}[];
}
```
@ -102,53 +81,42 @@ Sharkitek defines some basic types by default, in these classes:
- `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 Sharkitek property, you must provide its type by instantiating one of these classes.
When you are defining a property of a Sharkitek model, you must provide its type by instantiating one of these classes.
```typescript
class Example extends Model<Example>
class Example extends s.model({
foo: s.property.define(new StringType()),
})
{
foo: string;
protected SDefinition(): ModelDefinition<Example>
{
return {
foo: new Definition(new StringType()),
};
}
}
```
To ease the use of these classes and reduce read complexity, some constant variables and functions are defined in the library,
following a certain naming convention: "S{type_name}".
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` => `SBool`
- `StringType` => `SString`
- `NumericType` => `SNumeric`
- `DecimalType` => `SDecimal`
- `DateType` => `SDate`
- `ArrayType` => `SArray`
- `ModelType` => `SModel`
- `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`
When the types require parameters, the constant is defined as a function. If there is no parameter, then a simple
variable is enough.
Type implementers should provide a corresponding variable or function for each defined type. They can even provide
multiple functions or constants when predefined parameters. (For example, we could define `SStringArray` which would
be a variable similar to `SArray(SString)`.)
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())`.)
```typescript
class Example extends Model<Example>
class Example extends s.model({
foo: s.property.string(),
})
{
foo: string = undefined;
protected SDefinition(): ModelDefinition<Example>
{
return {
foo: SDefine(SString),
};
}
foo: string;
}
```
@ -208,7 +176,6 @@ const result = model.serializeDiff();
// 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()`
@ -238,7 +205,6 @@ const result = model.serializeDiff();
// result = { id: 5 }
// if `id` is not defined as the model identifier:
// result = {}
```
#### `save()`
@ -265,5 +231,4 @@ const result = model.save();
// 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" }
```