Fp Either Ref

Either Quick Reference

Either = success or failure. Right(value) or Left(error).

When to Use

• You need a quick fp-ts reference for typed synchronous error handling.
• The task involves validation, fallible operations, or converting throwing code to Either.
• You want a compact cheat sheet rather than a long tutorial.

Create

import * as E from 'fp-ts/Either'

E.right(value)           // Success
E.left(error)            // Failure
E.fromNullable(err)(x)   // null → Left(err), else Right(x)
E.tryCatch(fn, toError)  // try/catch → Either

Transform

E.map(fn)                // Transform Right value
E.mapLeft(fn)            // Transform Left error
E.flatMap(fn)            // Chain (fn returns Either)
E.filterOrElse(pred, toErr) // Right → Left if pred fails

Extract

E.getOrElse(err => default)  // Get Right or default
E.match(onLeft, onRight)     // Pattern match
E.toUnion(either)            // E | A (loses type info)

Common Patterns

import { pipe } from 'fp-ts/function'
import * as E from 'fp-ts/Either'

// Validation
const validateEmail = (s: string): E.Either<string, string> =>
  s.includes('@') ? E.right(s) : E.left('Invalid email')

// Chain validations (stops at first error)
pipe(
  E.right({ email: 'test@example.com', age: 25 }),
  E.flatMap(d => pipe(validateEmail(d.email), E.map(() => d))),
  E.flatMap(d => d.age >= 18 ? E.right(d) : E.left('Must be 18+'))
)

// Convert throwing code
const parseJson = (s: string) => E.tryCatch(
  () => JSON.parse(s),
  (e) => `Parse error: ${e}`
)

vs try/catch

// ❌ try/catch - errors not in types
try {
  const data = JSON.parse(input)
  process(data)
} catch (e) {
  handleError(e)
}

// ✅ Either - errors explicit in types
pipe(
  E.tryCatch(() => JSON.parse(input), String),
  E.map(process),
  E.match(handleError, identity)
)

Use Either when error type matters and you want to chain operations.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for enprojectnment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.