functype
Help developers use functype functional programming patterns in their TypeScript projects. Use this skill when converting imperative/OOP code to functional patterns, looking up functype APIs and methods, handling nulls with Option, managing errors with Either/Try, composing effects with IO (lazy eff
Install
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Activation
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Help developers use functype functional programming patterns in their TypeScript projects. Use this skill when converting imperative/OOP code to functional patterns, looking up functype APIs and methods, handling nulls with Option, managing errors with Either/Try, composing effects with IO (lazy effects, typed errors, dependency injection, retry), working with immutable collections like List and Set, running async operations with Task, or making HTTP requests with Http (typed fetch wrapper).About this skill
Functype User Guide
Overview
Transform TypeScript code to use functype - a Scala-inspired functional programming library providing type-safe alternatives to null checks, exceptions, and imperative patterns. This skill helps integrate Option, Either, Try, List, IO, Task, and other functional types into projects.
When to Use This Skill
Trigger this skill when users:
- Convert imperative code to functional patterns
- Look up functype APIs or methods
- Handle nullable values or optional chaining
- Replace try-catch with functional error handling
- Work with immutable collections
- Compose side effects, async operations, or dependency injection with IO
- Run async operations with cancellation or progress tracking (Task)
- Debug functype code or understand error messages
Quick Start
Installation
npm install functype
# or
pnpm add functype
Core Imports
// Import from main bundle
import { Option, Either, Left, Right, Try, List, IO, Tag, Task, Layer } from "functype"
Constructor vs Companion Methods
Functype collections provide multiple ways to create instances:
| Method | Use When | Example |
|---|---|---|
List([...]) | Creating from existing array | List(existingArray) |
List.of(...) | Inline literal values | List.of(1, 2, 3) |
List.empty() | Empty collections (typed) | List.empty<number>() |
Decision Guide
Use Constructor List([...]) when:
- Converting existing arrays:
List(data.items) - Spreading iterables:
List([...set]) - Variables holding arrays:
List(myArray)
Use List.of(...) when:
- Inline literal values:
List.of(1, 2, 3) - Cleaner for small fixed lists:
List.of("a", "b", "c") - No need to wrap in array brackets
Use List.empty() when:
- Starting with empty collection:
List.empty<User>() - Type parameter needed but no initial values
- Returns singleton (efficient for repeated calls)
Examples
// Constructor - wrapping existing data
const users = List(fetchedUsers)
const items = List([...existingSet])
// .of() - inline literals
const colors = List.of("red", "green", "blue")
const primes = Set.of(2, 3, 5, 7, 11)
// .empty() - typed empty collections
const errors = List.empty<string>()
const cache = Map.empty<string, User>()
Pattern Conversion Guide
Null/Undefined Checks → Option
Before (Imperative):
if (value !== null && value !== undefined) {
return value.toUpperCase()
}
return ""
After (Functype):
Option(value)
.map((v) => v.toUpperCase())
.orElse("")
Optional Chaining → Option Chain
Before:
const url = user?.profile?.avatar?.url
After:
const url = Option(user)
.flatMap((u) => Option(u.profile))
.flatMap((p) => Option(p.avatar))
.map((a) => a.url)
.orElse("/default-avatar.png")
Try-Catch → Try or Either
Before:
try {
return JSON.parse(str)
} catch (e) {
return null
}
After (with Try):
Try(() => JSON.parse(str))
.toOption()
.orElse(null)
After (with Either):
Try(() => JSON.parse(str))
.toEither()
.fold(
(error) => `Parse failed: ${error.message}`,
(data) => data,
)
Array Operations → List
Before:
array.filter((x) => x > 0).map((x) => x * 2)
After:
List(array)
.filter((x) => x > 0)
.map((x) => x * 2)
.toArray()
If-Else Chains → Cond
Before:
if (x > 10) {
return "big"
} else if (x > 5) {
return "medium"
} else {
return "small"
}
After:
import { Cond } from "functype"
Cond.start<string>()
.case(x > 10, "big")
.case(x > 5, "medium")
.otherwise("small")
Switch Statements → Match
Before:
switch (status) {
case "success":
return data
case "error":
return null
default:
return undefined
}
After:
import { Match } from "functype"
Match(status)
.case("success", () => data)
.case("error", () => null)
.exhaustive()
Common Use Cases
Validation with Either
import { Either, Left, Right } from "functype"
function validateEmail(email: string): Either<string, string> {
return email.includes("@") ? Right(email) : Left("Invalid email format")
}
function validateUser(user: any): Either<string, User> {
return validateEmail(user.email)
.map((email) => ({ ...user, email }))
.flatMap((u) => (u.age >= 18 ? Right(u) : Left("Must be 18 or older")))
}
const result = validateUser({ email: "[email protected]", age: 20 }).fold(
(error) => console.error(error),
(user) => console.log("Valid user:", user),
)
Safe API Calls with Option
import { Option } from "functype"
interface User {
id: string
name: string
email?: string
}
function getUserEmail(userId: string): Option<string> {
return Option(fetchUser(userId))
.flatMap((user) => Option(user.email))
.filter((email) => email.includes("@"))
}
const email = getUserEmail("123").orElse("[email protected]")
Error Recovery with Try
import { Try } from "functype"
const parseConfig = Try(() => JSON.parse(configStr))
.recover((error) => {
console.warn("Using default config:", error)
return defaultConfig
})
.map((config) => validateConfig(config))
Collection Pipeline with List
import { List } from "functype"
const users = List([
{ name: "Alice", hobbies: ["reading", "coding"] },
{ name: "Bob", hobbies: ["gaming", "music"] },
])
const allHobbies = users
.flatMap((user) => List(user.hobbies))
.toSet() // Remove duplicates
.toArray()
Additional Data Structures
IO<R,E,A> - Effect Type
IO is a lazy, composable effect type with typed errors and dependency injection:
- R = Requirements (environment/dependencies needed)
- E = Error type (typed failures)
- A = Success type (value produced on success)
import { IO, Tag, Layer } from "functype"
// Creation
IO.sync(() => computation()) // Sync operation
IO.succeed(value) // Pure success
IO.fail(error) // Pure failure
IO.async(() => promise) // Async operation
IO.tryPromise({
// Promise with error mapping
try: () => fetch(url),
catch: (e) => new NetworkError(e),
})
// Dependency injection
const Database = Tag<DatabaseService>("Database")
const dbEffect = IO.service(Database) // Access a service
const program = dbEffect.flatMap((db) => IO.sync(() => db.query()))
program.provide(Layer.fromValue(Database, myDb)) // Provide deps
// Generator do-notation (cleaner syntax)
const program = IO.gen(function* () {
const db = yield* IO.service(Database)
const user = yield* IO.tryPromise(() => db.findUser(id))
return user
})
// Execution
await effect.run() // Returns Promise<A>
effect.runSync() // Returns A (throws if async)
await effect.runEither() // Returns Promise<Either<E,A>>
await effect.runExit() // Returns Promise<Exit<E,A>>
Tuple - Type-safe Fixed-length Array
import { Tuple } from "functype"
const pair = Tuple(42, "hello")
pair.first() // 42
pair.second() // "hello"
pair.mapFirst((x) => x * 2) // Tuple(84, "hello")
pair.swap() // Tuple("hello", 42)
pair.apply((a, b) => a + b.length) // 47
pair.concat(Tuple(true)) // Tuple(42, "hello", true)
Stack - Last-In-First-Out Collection
import { Stack } from "functype"
Stack.empty<number>()
const stack = Stack.of(1, 2, 3)
stack.push(value) // Returns new Stack
stack.pop() // Returns [Option<T>, Stack<T>]
stack.peek() // Returns Option<T>
stack.match({
Empty: () => "empty stack",
NonEmpty: (top, rest) => `top: ${top}`,
})
LazyList - Lazy-evaluated List
import { LazyList } from "functype"
// Creation
LazyList([1, 2, 3])
LazyList.of(1, 2, 3)
LazyList.empty<number>()
// Infinite sequences
const naturals = LazyList.from(0, (n) => n + 1)
const evens = naturals.filter((n) => n % 2 === 0).take(10)
// Operations are deferred until needed
const result = LazyList(hugeArray)
.filter((x) => x > 0)
.map((x) => x * 2)
.take(5)
.toArray() // Only processes first 5 matching elements
Do-Notation (Generator Comprehensions)
Scala-like for-comprehensions using JavaScript generators:
import { Do, DoAsync, $ } from "functype"
// Synchronous comprehensions
const result = Do(function* () {
const x = yield* $(Option(5))
const y = yield* $(Option(10))
return x + y
}) // Option(15)
// Async comprehensions
const asyncResult = await DoAsync(async function* () {
const user = yield* $(await fetchUserAsync(userId))
const profile = yield* $(await fetchProfileAsync(user.id))
return { user, profile }
})
// Cartesian products with List (2.5x-12x faster than nested flatMap)
const pairs = Do(function* () {
const x = yield* $(List([1, 2, 3]))
const y = yield* $(List([10, 20]))
return { x, y }
}) // List([{x:1,y:10}, {x:1,y:20}, {x:2,y:10}, ...])
// Mixed monad types with automatic conversion
const mixed = Do(function* () {
const a = yield* $(Option(5))
const b = yield* $(Right<string, number>(10))
return a + b
})
Note: First monad determines return type. Uses Reshapeable for automatic type conversion.
Companion Pattern & Type Guards
All types provide static type guards for narrowing:
import { Option, Either, Try } from "functype"
// Option type guards
if (Option.isSome(option)) {
option.value // TypeScript knows value exists
}
if (Option.isNone(option)) {
// Handle empty case
}
// Either type guards
if (Either.isRight(either)) {
either.value // TypeScript knows it's Right
}
if (Either.isLeft(either)) {
either.value // TypeScript knows it's error value
}
// Try type guards
if (Try.isSuccess(tryVal)
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