Moving from lodash/fp to ramda

readme.md

Moving from lodash/fp to ramda

How

Good news is we're only using lodash/fp, which makes it easier to match function signatures.

1. Find most-used lodash methods, we'll convert these first maybe?
2. Go through each lodash method, find the ramda equivalent where possible
3. Write a codemod to rewrite those usages
4. Who the fuck thought function aliases were a good idea

Codemod

• import R from 'ramda'
• Use as R.X, instead of import { X } from 'ramda'

Currently used lodash methods with usage:

• 245 x noop
  • No equivalent
• 62 x flowRight
  • R.compose
• 26 x identity
• 16 x curry
  • R.curry
• 13 x get
  • R.path
  • NOTE: ramda paths use arrays, not strings
• 13 x debounce
  • No equivalent
• 12 x find
  • _.find(collection, [predicate=_.identity], [fromIndex=0])
  • R.find (a → Boolean) → [a] → a | undefined
• 11 x range
  • _.range([start=0], end, [step=1])
  • R.range Number → Number → [Number]
  • Does not support steps
• 9 x findIndex
  • _.findIndex(predicate, array)
  • R.findIndex (a → Boolean) → [a] → Number
• 8 x some
  • _.some(predicate, collection)
  • R.anyPass [(*… → Boolean)] → (*… → Boolean)
• 8 x map
  • _.map(iteratee, collection)
  • R.map Functor f => (a → b) → f a → f b
• 7 x flow
  • _.flow(funcs)
  • R.pipe
• 7 x first
  • Alias of _.head
  • R.head
• 6 x last
  • _.last(array)
  • R.last
• 5 x isEqual
  • _.isEqual(value, other)
  • R.equals a → b → Boolean
• 5 x filter
  • R.filter
• 5 x every
  • _.every(predicate, collection)
    • predicate called with (value, key|index, collection)
  • R.all
    • predicate called with (value)
• 4 x pick
  • _.pick(props, object)
  • R.pick [k] → {k: v} → {k: v}
• 3 x reduce
  • _.reduce(iteratee, accumulator, collection)
    • iteratee is invoked with four arguments: (accumulator, value, index|key, collection)
  • R.reduce ((a, b) → a) → a → [b] → a
    • iterator function receives two values: (acc, value)
• 3 x rangeStep
  • Lodash FP's 3-arity version of range
  • _.rangeStep(step, start, end)
  • No direct equivalent, closest would be:

      const rangeStep = (start, step, stop) => R.map(
        n => start + step * n,
        R.range(0, (1 + (stop - start) / step) >>> 0)
      );

• 3 x compose
  • Alias of flowRight
  • R.compose
• 2 x values
  • _.values(object)
  • R.values {k: v} → [v]
• 2 x takeRight
  • _.takeRight(array, [n=1])
  • R.takeLast
• 2 x take
  • R.take
• 2 x split
  • R.split
• 2 x merge
  • Deep merge from left to right
  • R.mergeDeepLeft
• 2 x memoize
  • No equivalent
• 2 x inRange
  • _.inRange(number, [start=0], end)
  • Checks if n is between start and up to, but not including, end. If end is not specified, it's set to start with start then set to 0. If start is greater than end the params are swapped to support negative ranges.
  • No direct equivalent
  • R.both(R.gte(R.__, start), R.lte(R.__, end))
• 2 x includes
  • R.contains

• 2 x groupBy

• 2 x getOr
• 2 x concat
  • R.concat
• 2 x clamp
  • _.clamp(number, [lower], upper)
  • R.clamp Ord a => a → a → a → a
• 1 x uniqBy
• 1 x uniq
• 1 x toPairs
• 1 x toLower
• 1 x throttle
• 1 x spread
• 1 x sortBy
• 1 x slice
• 1 x set
• 1 x reverse
• 1 x replace
• 1 x reject
• 1 x pluck
• 1 x pickBy
• 1 x negate
• 1 x join
• 1 x isObject
• 1 x isEmpty
• 1 x intersection
• 1 x fromPairs
• 1 x flatten
• 1 x equals
  • Alias of isEquals
  • R.equals
• 1 x delay
  • No equivalent
  • Use setTimeout
• 1 x defaultTo
• 1 x **curryN
  • R.curryN
• 1 x ceil
  • _.ceil(number, [precision=0])
  • No equivalent
  • Use Math.ceil instead
• 1 x assign
  • _.assign(object, [sources])
  • R.merge {k: v} → {k: v} → {k: v}

To reduce bundle file size, so i thinks import { X } from 'ramda' is better than import R from 'ramda'

This fully depends on your build system. If you're using babel, you can use babel-plugin-ramda to do that transformation work fo you — so you can use R.X in your source files and only the ramda functions you use get included in the build.

And using R.X is much better for dev IMO, as you might not know exactly what ramda functions you need when you're writing compositions.

At least, that's what I do!