054565490e
Add a conservative metadata fixer for missing risk and source fields, cover it with tests, and backfill the remaining skills using explicit source inference only when the provenance is clear. Fall back to the repo-documented defaults when the file does not support a stronger claim. Refs #365
1.5 KiB
1.5 KiB
name, description, risk, source, version, tags
| name | description | risk | source | version | tags | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| fp-pipe-ref | Quick reference for pipe and flow. Use when user needs to chain functions, compose operations, or build data pipelines in fp-ts. | unknown | community | 1.0.0 |
|
pipe & flow Quick Reference
pipe - Transform a Value
import { pipe } from 'fp-ts/function'
// pipe(startValue, fn1, fn2, fn3)
// = fn3(fn2(fn1(startValue)))
const result = pipe(
' hello world ',
s => s.trim(),
s => s.toUpperCase(),
s => s.split(' ')
)
// ['HELLO', 'WORLD']
flow - Create Reusable Pipeline
import { flow } from 'fp-ts/function'
// flow(fn1, fn2, fn3) returns a new function
const process = flow(
(s: string) => s.trim(),
s => s.toUpperCase(),
s => s.split(' ')
)
process(' hello world ') // ['HELLO', 'WORLD']
process(' foo bar ') // ['FOO', 'BAR']
When to Use
| Use | When |
|---|---|
pipe |
Transform a specific value now |
flow |
Create reusable transformation |
With fp-ts Types
import * as O from 'fp-ts/Option'
import * as A from 'fp-ts/Array'
// Option chain
pipe(
O.fromNullable(user),
O.map(u => u.email),
O.getOrElse(() => 'no email')
)
// Array chain
pipe(
users,
A.filter(u => u.active),
A.map(u => u.name)
)
Common Pattern
// Data last enables partial application
const getActiveNames = flow(
A.filter((u: User) => u.active),
A.map(u => u.name)
)
// Reuse anywhere
getActiveNames(users1)
getActiveNames(users2)