AelasticS Types

Types dynamically created at run time - 0.x.x-Alpha version

• Arbitrarily data structures - supported both tree and graph recursive/cyclic structures
• Data validation and serialization/deserialization
• Map-reduce processing and general traversals

Highlights

Types and Type schemas

• Simple types (number, string, boolean, literal and user defined semantic domains/types)

• Complex types (object types, subtypes, array, map, date type, union, tagged union, intersection)

• Special types (optional, object reference, link)

• Recursive/cyclic types

• Type schemas as containers of type definitions to manage complexity

• Special meta-type operators to deduce Typescript type declarations used for typechecking by compiler

• Intellisence in code editors (similar to React prop-types library)

Validation

• Lot of predefined chainable operators for constraining string and number values
• User supplied validate functions for specifying value constrains on arbitrarily complex types
• User defined error message specifications for violated constrains
• Extensive error reports collected during data validations

Serialization/Deserialization

• Graph cyclic data structures are transformed to/from Data Transfer Objects (JSON tree data structures)
• Inheritance (subtyping) supported
• Graph cyclic data structures are supported as an out-of-the-box feature
• No decorators/annotations are needed
• Support for types not supported by JSON such as maps, unions, dates, object references, etc.

Structure Traversal/Processing

• General traversal of graph cyclic structures in a depth-first or bread-first manner
• Map and Reduce processing of graph cyclic structures, a generalization of the well-known Map/Reduce processing of arrays and lists
• Both type and instance level traversals/processing are supported

Example

import * as t from "aelastics-types";
 
export const AgeType = t.number.derive('Human age').int8.positive.inRange(1, 120);
 
export const WorkerType = t.object({
    name: t.string,
    age: t.optional(AgeType),
    sex: t.unionOf([t.literal('male'), t.literal("female")],"sexType"),
    birthPlace:  t.object({name: t.string, state: t.string}),
    children: t.listOf(t.object({name: t.string}, "Child"))
}, 'WorkerType');