ML Schema Transformer (MLST)

A shared component for transforming mojaloop payloads from one schema to another.

Contributing

Refer to CONTRIBUTING.md for information on how to contribute, committing changes, releases and snapshots.

Getting Started

Installing

npm i @mojaloop/ml-schema-transformer-lib

Usage

MLST can be used via the exported facades or the creator function.

Facades

// ESM
import { TransformFacades } from '@mojaloop/ml-schema-transformer-lib';
// CJS
const { TransformFacades } = require('@mojaloop/ml-schema-transformer-lib')

// `source` is an object with `body` property containing FSPIOP POST /quotes payload
const source = {
  body: {
    quoteId: 'random quote id',
    ...,
  }
};
// `target` is an object with `body` property containing  transformed FSPIOP ISO 20022 POST /quotes payload
const target = await TransformFacades.FSPIOP.quotes.post(source);

The source parameter may require params and/or headers properties depending on the use-case. target will always be { body } for ISO targets and { body, headers?, params? } for FSPIOP targets. The optional FSPIOP target headers and params will be populated as needed on use-case basis. Be sure to check the signature for the facade function you're using to be sure of what is expected as parameter and result. The facade functions have type guards that validate the source parameter to ensure they are of the right shape. The type guards will throw exceptions when the source parameter passed are not in the shape expected. The facade functions work with built-in mappings which are located in src/mappings directory. The facade functions take optional second parameter of type TransformFacadeOptions for controlling certain aspects of the function.

For example:

• To override the mapping used in the function, pass in { overrideMapping: 'your mapping JSON string' }
• To pass in additional options for the instantiation of MapTransform (the underlying transformation library), pass in { mapTransformOptions: { ...additionalMapTransformOptions } }.
• To pass in additional options for the MapTransform mapper call, pass in { mapperOptions: { ...additionalMapperOptions } }

Creator Function

// ESM
import { createTransformer } from ' @mojaloop/ml-schema-transformer-lib';
// CJS
const { createTransformer } = require('@mojaloop/ml-schema-transformer-lib')

const mapping = { "quoteId": "CdtTrfTxInf.PmtId.TxId", ... }

const transformer = await createTransformer(mapping);
const transformer = createTransformer(mapping)

const source = { body: { quoteId: 'random quote id', ... }, ... };
const target = transformer.transform(source);

The createTransform function takes an optional second parameter of type CreateTransformerOptions for controlling the instantiation of the MapTransform object.

For example:

• To pass in additional options for the instantiation of MapTransform, pass in { mapTransformOptions: { ...additionalMapTransformOptions } }

Custom Transform Functions

Custom transform functions are special functions which are embedded in field mappings and are executed during transformation of those fields. To provide custom transform functions (for both Facades and createTransformer use cases):

  const fn1 = (options) => () => (data, state) => {
    const modified = // apply custom transformation to `data`;
    return modified;
  }
  const fn2 = (options) => () => (data, state) => {
    const modified = // apply custom transformation to `data`;
    return modified;
  }
  const options = {
    mapTransformOptions: {
      transformers: {
        fn1,
        fn2,
        ...
      }
    }
  }

Replace fn1 and fn2 with the actual names of your functions. See src/lib/transforms/index.ts or here for more on authoring and using custom transform functions in mappings.

Environment Variables

| Env Variable Name | Default Value | Description | |-----------------------------|---------------|------------------------------------------------------| | MLST_LOG_LEVEL | warn | The log level for MLST | | MLST_ILP_VERSION | v4 | ILP version used for ilpPacketToCondition transform. Note: ILP v1 is not supported| | MLST_TESTING_MODE | false | When true, some mapping contains defaults that don't need context from past requests. Useful for one off request transformations.

Performance

Hardware → Apple M3 Max, 14 Cores, 36 GB RAM

| Use Case | No. of Iterations | Duration | |-------------------------------------------------|-------------------|----------------| | POST /quotes transformation { FSPIOP → ISO } | 1000 | ~301ms | | POST /quotes transformation { ISO → FSPIOP } | 1000 |~205ms | | POST /transfers transformation { FSPIOP → ISO } | 1000 | ~135ms | | POST /transfers transformation { ISO → FSPIOP } | 1000 | ~79ms |

Development

Install Depednencies

npm i

Run Tests

npm test

Build

npm run build