@calamari-radix/sbor-ez-mode v1.2.1
sbor-ez-mode
The simple way to parse Programmatic JSON into nice JavaScript objects with an api inspired by Zod.
Installation
npm install @calamari-radix/sbor-ez-modeWarning: The APIs in this repository may not be stable and could be changed at any time.
Usage
Parsing ProgrammaticScryptoSborValue
The Radix network uses a custom data serialization standard called Scrypto SBOR for storing on-ledger state. This data format can be represented and consumed as JSON in a special representation called Scrypto SBOR Programmatic JSON. While the Babylon Gateway SDK has good types for this programmatic JSON, it is quite difficult and time-consuming to parse the values coming from ledger into workable JS/TS values.
This package contains a library inspired by the popular validation library Zod, that makes it easy to write TypeScript schemas for your Scrypto types and parse them into nice javascript objects, arrays, maps etc in one go.
A note on error handling
This package uses neverthrow's Result type for error handling. This means that the result of a safeParse operation will always be a Result object, which can be either Ok or Err. You can check if the result is Ok or Err and then access the value or error accordingly. For more information on how to use the Result type, please refer to the neverthrow documentation.
A simple example:
// s (for sbor) is the main object you'll have to import to create schemas and parse
import s from '@calamari-radix/sbor-ez-mode';
const swapEventSchema = s.struct({
input_address: s.address(),
input_amount: s.decimal(),
output_address: s.address(),
output_amount: s.decimal(),
is_success: s.bool(),
});This schema represents the following Rust struct:
struct SwapEvent {
input_address: ResourceAddress,
input_amount: Decimal,
output_address: ResourceAddress,
output_amount: Decimal,
is_success: bool
}The programmatic json might look like this:
Don't be fooled! The Kind is Tuple, but this is surely a struct!
Scrypto SBOR does not have a Struct Kind natively, it is represented by Tuple.
{
"fields": [
{
"value": "resource_rdx1t5pyvlaas0ljxy0wytm5gvyamyv896m69njqdmm2stukr3xexc2up9",
"kind": "Reference",
"type_name": "ResourceAddress",
"field_name": "input_address"
},
{
"value": "0.003427947474666592",
"kind": "Decimal",
"field_name": "input_amount"
},
{
"value": "resource_rdx1tknxxxxxxxxxradxrdxxxxxxxxx009923554798xxxxxxxxxradxrd",
"kind": "Reference",
"type_name": "ResourceAddress",
"field_name": "output_address"
},
{
"value": "522.23800528105807128",
"kind": "Decimal",
"field_name": "output_amount"
},
{
"field_name": "is_success",
"kind": "Bool",
"value": true
}
],
"kind": "Tuple",
"type_name": "SwapEvent"
}Now we can parse this programmatic JSON into our nice schema:
// The return type is `neverthrow`'s `Result` type, which you can nicely handle
// in a lot of ways.
const result = swapEventSchema.safeParse(example);
if (result.isOk()) {
console.log(result.value);
}
// {
// input_address: 'resource_rdx1t5py...',
// input_amount: '0.003427947474666592',
// output_address: 'resource_rdx1tknxxxx...',
// output_amount: '522.23800528105807128',
// is_success: true,
// }So now we managed to go from this huge JSON representation to an easy to use, pretty object representation.
Parsing arrays
Rust type:
Vec<u32>const example: ProgrammaticScryptoSborValue = {
kind: 'Array',
field_name: 'nft_ids',
type_name: 'Array',
element_kind: 'NonFungibleLocalId',
elements: [
{
kind: 'NonFungibleLocalId',
value: '#1#',
},
{
kind: 'NonFungibleLocalId',
value: '#2#',
},
{
kind: 'NonFungibleLocalId',
value: '#3#',
},
],
};
const schema = s.array(s.nonFungibleLocalId());
const result = schema.safeParse(example);
if (result.isOk()) {
console.log(result.value);
}
// ['#1#', '#2#', '#3#'];Parsing maps
Rust type:
HashMap<String, String>const example: ProgrammaticScryptoSborValue = {
kind: 'Map',
field_name: 'map',
key_kind: 'String',
value_kind: 'String',
entries: [
{
key: {
kind: 'String',
value: 'boinoing',
},
value: {
kind: 'String',
value: 'boobies',
},
},
{
key: {
kind: 'String',
value: 'impostor',
},
value: {
kind: 'String',
value: 'amogus',
},
},
],
};const schema = s.map({
key: s.string(),
value: s.string(),
});
const result = schema.safeParse(example);
if (result.isOk()) {
console.log(result.value);
}
// Map(2) { 'boinoing' => 'boobies', 'impostor' => 'amogus' }Parsing a tuple
Rust type:
(String, u32)const example: ProgrammaticScryptoSborValue = {
kind: 'Tuple',
field_name: 'tuple',
type_name: 'tuple',
fields: [
{
kind: 'String',
value: 'hello',
},
{
kind: 'U32',
value: '5',
},
],
};
const schema = s.tuple([s.string(), s.number()]);
const result = schema.safeParse(example);
if (result.isOk()) {
console.log(result.value);
}
// ['hello', 5];Parsing enums
The corresponding Rust type:
enum MyEnum {
NonFungible {
ids: Vec<NonFungibleLocalId>,
resource_address: ResourceAddress,
},
Fungible(Decimal),
}To parse enums, you will have to provide the enum schema constructor with an array of variant definitions. The schema passed to schema must be either a struct or a tuple schema, but of course it can then contain any other schema. The result will have the nice type inference you would expect, meeaning you can do type narrowing on the result to figure out which variant was parsed and act accordingly.
const myEnumSchema = s.enum([
{
variant: 'NonFungible',
schema: s.struct({
ids: s.array(s.nonFungibleLocalId()),
resource_address: s.address(),
}),
},
{ variant: 'Fungible', schema: s.tuple([s.decimal()]) },
]);In the case of a NonFungible variant, the programmatic JSON might look like this:
const example: ProgrammaticScryptoSborValue = {
kind: 'Enum',
variant_id: '0',
variant_name: 'NonFungible',
fields: [
{
kind: 'Array',
field_name: 'ids',
values: [
{
kind: 'NonFungibleLocalId',
value: '#1#',
},
],
},
{
kind: 'Reference',
field_name: 'resource_address',
value: 'resource_rdx1t5pyvlaas0ljxy0wytm5gvyamyv896m69njqdmm2stukr3xexc2up9',
},
],
};Now we can parse this programmatic JSON into our nice schema:
const result = myEnumSchema.safeParse(example);
if (result.isOk()) {
console.log(result.value);
}
// {
// variant: 'NonFungible',
// value: {
// ids: ['#1#'],
// resource_address: 'resource_rdx1t5pyvlaas0ljxy0wytm5gvyamyv896m69njqdmm2stukr3xexc2up9',
// },
// }Using the option utility enum
The option utility enum is a special enum schema that can be used to represent optional values. It has two variants: Some and None.
The corresponding Rust type:
Option<u32>Example of parsing a None:
const example: ProgrammaticScryptoSborValue = {
kind: 'Enum',
variant_id: '0',
variant_name: 'None',
fields: [],
};
const schema = s.option(s.string());
const result = schema.safeParse(example);
if (result.isOk()) {
console.log(result.value);
}
// { variant: 'None' }Example of parsing a Some:
const example: ProgrammaticScryptoSborValue = {
kind: 'Enum',
variant_id: '1',
variant_name: 'Some',
fields: [
{
kind: 'Tuple',
fields: [
{
kind: 'Bool',
value: true,
},
],
},
],
};
const schema = s.option(s.bool());
const result = schema.safeParse(example);
if (result.isOk()) {
console.log(result.value);
}
// { variant: 'Some', value: true }