fp-pragmatic

What this skill does

# Pragmatic Functional Programming

**Read this first.** This guide cuts through the academic jargon and shows you what actually matters. No category theory. No abstract nonsense. Just patterns that make your code better.

## When to Use
- You want a pragmatic starting point for fp-ts or functional programming in TypeScript.
- The task is exploratory or educational and needs an 80/20 view of what is actually worth adopting.
- You need guidance on when FP helps and when it is better to keep code simple.

## The Golden Rule

> **If functional programming makes your code harder to read, don't use it.**

FP is a tool, not a religion. Use it when it helps. Skip it when it doesn't.

---

## The 80/20 of FP

These five patterns give you most of the benefits. Master these before exploring anything else.

### 1. Pipe: Chain Operations Clearly

Instead of nesting function calls or creating intermediate variables, chain operations in reading order.

```typescript
import { pipe } from 'fp-ts/function'

// Before: Hard to read (inside-out)
const result = format(validate(parse(input)))

// Before: Too many variables
const parsed = parse(input)
const validated = validate(parsed)
const result = format(validated)

// After: Clear, linear flow
const result = pipe(
  input,
  parse,
  validate,
  format
)
```

**When to use pipe:**
- 3+ transformations on the same data
- You find yourself naming throwaway variables
- Logic reads better top-to-bottom

**When to skip pipe:**
- Just 1-2 operations (direct call is fine)
- The operations don't naturally chain

### 2. Option: Handle Missing Values Without null Checks

Stop writing `if (x !== null && x !== undefined)` everywhere.

```typescript
import * as O from 'fp-ts/Option'
import { pipe } from 'fp-ts/function'

// Before: Defensive null checking
function getUserCity(user: User | null): string {
  if (user === null) return 'Unknown'
  if (user.address === null) return 'Unknown'
  if (user.address.city === null) return 'Unknown'
  return user.address.city
}

// After: Chain through potential missing values
const getUserCity = (user: User | null): string =>
  pipe(
    O.fromNullable(user),
    O.flatMap(u => O.fromNullable(u.address)),
    O.flatMap(a => O.fromNullable(a.city)),
    O.getOrElse(() => 'Unknown')
  )
```

**Plain language translation:**
- `O.fromNullable(x)` = "wrap this value, treating null/undefined as 'nothing'"
- `O.flatMap(fn)` = "if we have something, apply this function"
- `O.getOrElse(() => default)` = "unwrap, or use this default if nothing"

### 3. Either: Make Errors Explicit

Stop throwing exceptions for expected failures. Return errors as values.

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

// Before: Hidden failure mode
function parseAge(input: string): number {
  const age = parseInt(input, 10)
  if (isNaN(age)) throw new Error('Invalid age')
  if (age < 0) throw new Error('Age cannot be negative')
  return age
}

// After: Errors are visible in the type
function parseAge(input: string): E.Either<string, number> {
  const age = parseInt(input, 10)
  if (isNaN(age)) return E.left('Invalid age')
  if (age < 0) return E.left('Age cannot be negative')
  return E.right(age)
}

// Using it
const result = parseAge(userInput)
if (E.isRight(result)) {
  console.log(`Age is ${result.right}`)
} else {
  console.log(`Error: ${result.left}`)
}
```

**Plain language translation:**
- `E.right(value)` = "success with this value"
- `E.left(error)` = "failure with this error"
- `E.isRight(x)` = "did it succeed?"

### 4. Map: Transform Without Unpacking

Transform values inside containers without extracting them first.

```typescript
import * as O from 'fp-ts/Option'
import * as E from 'fp-ts/Either'
import * as A from 'fp-ts/Array'
import { pipe } from 'fp-ts/function'

// Transform inside Option
const maybeUser: O.Option<User> = O.some({ name: 'Alice', age: 30 })
const maybeName: O.Option<string> = pipe(
  maybeUser,
  O.map(user => user.name)
)

// Transform inside Either
const result: E.Either<Error, number> = E.right(5)
const doubled: E.Either<Error, number> = pipe(
  result,
  E.map(n => n * 2)
)

// Transform arrays (same concept!)
const numbers = [1, 2, 3]
const doubled = pipe(
  numbers,
  A.map(n => n * 2)
)
```

### 5. FlatMap: Chain Operations That Might Fail

When each step might fail, chain them together.

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

const parseJSON = (s: string): E.Either<string, unknown> =>
  E.tryCatch(() => JSON.parse(s), () => 'Invalid JSON')

const extractEmail = (data: unknown): E.Either<string, string> => {
  if (typeof data === 'object' && data !== null && 'email' in data) {
    return E.right((data as { email: string }).email)
  }
  return E.left('No email field')
}

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

// Chain all steps - if any fails, the whole thing fails
const getValidEmail = (input: string): E.Either<string, string> =>
  pipe(
    parseJSON(input),
    E.flatMap(extractEmail),
    E.flatMap(validateEmail)
  )

// Success path: Right('[email protected]')
// Any failure: Left('specific error message')
```

**Plain language:** `flatMap` means "if this succeeded, try the next thing"

---

## When NOT to Use FP

Functional programming is not always the answer. Here's when to keep it simple.

### Simple Null Checks

```typescript
// Just use optional chaining - it's built into the language
const city = user?.address?.city ?? 'Unknown'

// DON'T overcomplicate it
const city = pipe(
  O.fromNullable(user),
  O.flatMap(u => O.fromNullable(u.address)),
  O.flatMap(a => O.fromNullable(a.city)),
  O.getOrElse(() => 'Unknown')
)
```

### Simple Loops

```typescript
// A for loop is fine when you need early exit or complex logic
function findFirst(items: Item[], predicate: (i: Item) => boolean): Item | null {
  for (const item of items) {
    if (predicate(item)) return item
  }
  return null
}

// DON'T force FP when it doesn't help
const result = pipe(
  items,
  A.findFirst(predicate),
  O.toNullable
)
```

### Performance-Critical Code

```typescript
// For hot paths, imperative is faster (no intermediate arrays)
function sumLarge(numbers: number[]): number {
  let sum = 0
  for (let i = 0; i < numbers.length; i++) {
    sum += numbers[i]
  }
  return sum
}

// fp-ts creates intermediate structures
const sum = pipe(numbers, A.reduce(0, (acc, n) => acc + n))
```

### When Your Team Doesn't Know FP

If you're the only one who can read the code, it's not good code.

```typescript
// If your team knows this pattern
async function getUser(id: string): Promise<User | null> {
  try {
    const response = await fetch(`/api/users/${id}`)
    if (!response.ok) return null
    return await response.json()
  } catch {
    return null
  }
}

// Don't force this on them
const getUser = (id: string): TE.TaskEither<Error, User> =>
  pipe(
    TE.tryCatch(() => fetch(`/api/users/${id}`), E.toError),
    TE.flatMap(r => r.ok ? TE.right(r) : TE.left(new Error('Not found'))),
    TE.flatMap(r => TE.tryCatch(() => r.json(), E.toError))
  )
```

---

## Quick Wins: Easy Changes That Improve Code Today

### 1. Replace Nested Ternaries with pipe + fold

```typescript
// Before: Nested ternary nightmare
const message = user === null
  ? 'No user'
  : user.isAdmin
    ? `Admin: ${user.name}`
    : `User: ${user.name}`

// After: Clear case handling
const message = pipe(
  O.fromNullable(user),
  O.fold(
    () => 'No user',
    (u) => u.isAdmin ? `Admin: ${u.name}` : `User: ${u.name}`
  )
)
```

### 2. Replace try-catch with tryCatch

```typescript
// Before: try-catch everywhere
let config
try {
  config = JSON.parse(rawConfig)
} catch {
  config = defaultConfig
}

// After: One-liner
const config = pipe(
  E.tryCatch(() => JSON.parse(rawConfig), () => 'parse error'),
  E.getOrElse(() => defaultConfig)
)
```

###