Baccano

A railway-oriented programming helper library.

Intro to Railway-oriented Programming

The term was coined by Scott Wlaschin of F# for Fun and Profit. Here's his talk on the subject. This method of programming allows us to deal with errors functionally in our applications. It involves having two paths (or tracks) if you will, one is the success path, and one is the error path. You start with the success path and when an error occurs, expected or not, you move to the error path. It's easier to understand if you try it out.

Getting Started

Importing the library

To use the library, first import it:

In Node:

const { compose, fromUnary, SomeError, Success } = require('baccano')

As ES Module:

import { compose, fromUnary, SomeError, Success } from 'baccano'

On the browser:

<script src="https://cdn.jsdelivr.net/npm/[email protected]/baccano.min.js"></script>
<script>
    const { compose, fromUnary, SomeError, Success } = Baccano
</script>

Using the library

Let's learn how to use the library by creating a pipeline of mathematical operations.

Define Errors

Features should not be the only things to be considered when planning software. Errors, or anything that can go wrong should also be planned. Hence, we have to define the possible errors that might occur in a particular pipeline of functions. Normally we'd use a type or a variant for this but we're in JavaScript so I suggest using Symbols for them. We'll be using division in the pipeline so we have to plan for a division by zero case.

const DIVISON_BY_ZERO = Symbol.for('DIVISION_BY_ZERO')

Define Functions

Now we'll define the functions that we will use. In Railway-Oriented Programming, a function should either return a success with the value, or some error with the error message. This would be easy in type-safe functional programming languages but that is not the case with JavaScript so we'll need some helpers from the library.

import { SomeError, Success } from 'baccano'

After importing our helper functions, let's define the functions we're going to use.

const divideBy = n => x => {
  if (n === 0) {
    return SomeError(DIVISON_BY_ZERO, "Cannot divide by zero.")
  } else {
    return Success(n / x)
  }
}

const plusOne = x => {
  return Success(x + 1)
}

In this case, we create a function divideBy which takes a number and returns a function that accepts a number and divides it by the previous number. If the previous number is zero, we return a DIVISON_BY_ZERO error using the SomeError function, which takes a value that represents the error and the error message. Else, we return a success using the Success function which accepts a value.

The plusOne function just takes a number and returns a Success with the number incremented by one.

Convert to ROP-compatible functions

If you noticed, our functions accept a single value and return a single value, which could either be success or error. In Railway-Oriented Programming, functions should accept two values and return two values, which represent the happy/success path and the error path. So we have to convert them into compatible functions. For that, we need the fromUnary function.

import { fromUnary, SomeError, Success } from 'baccano'

const compatibleDivideByZero = fromUnary(divideBy(0))
const compatiblePlusOne = fromUnary(plusOne)

Now we can use these functions in our pipeline.

Composing functions into a pipeline

Now that we have compatible functions, let's compose them into a single function using the pipeline function.

import { fromUnary, pipeline, SomeError, Success } from 'baccano'

const pipeline = compose(compatiblePlusOne, compatibleDivideByZero, compatiblePlusOne)

This pipeline function is an asynchronous function which accepts a value and returns a Promise that resolves into the value after it has been run through the series of functions.

We run the pipeline like this:

(async () => {

  // Get result of the pipeline
  const result = await pipeline(2)

  // Display end value
  console.log(result.value) // 4

  // Display errors
  console.log(result.errors) // [ { message: 'Cannot divide by zero.', type: Symbol(DIVISON_BY_ZERO) } ]
})()

That's it for this example!

Complete Example Code

Here is the complete example code:

// Import library
import { compose, fromUnary, SomeError, Success } from 'baccano'
// or const { compose, fromUnary, SomeError, Success } = Baccano

// Define Errors
const DIVISON_BY_ZERO = Symbol.for('DIVISION_BY_ZERO')

const divideBy = n => x => {
  if (n === 0) {
    return SomeError(DIVISON_BY_ZERO, "Cannot divide by zero.")
  } else {
    return Success(n / x)
  }
}

const plusOne = x => {
  return Success(x + 1)
}

// Take unary functions and convert them to compatible functions
const compatibleDivideByZero = fromUnary(divideBy(0))
const compatiblePlusOne = fromUnary(plusOne)

// Create pipeline of functions
const pipeline = compose(compatiblePlusOne, compatibleDivideByZero, compatiblePlusOne)

(async () => {

  // Get result of the pipeline
  const result = await pipeline(2)

  // Display end value
  console.log(result.value) // 4

  // Display errors
  console.log(result.errors) // [ { message: 'Cannot divide by zero.', type: Symbol(DIVISON_BY_ZERO) } ]
})()

Notes

• I named the library Baccano because when I thought about trains and railways, I thought of the Baccano anime. @egoist is not the only one fond of anime references LOL.

Roadmap

• Handling Asynchronous functions
• Parallel execution
• Lazy execution

License

MIT