effect-io-ai

Package: effect
Module: SchemaTransformation

SchemaTransformation.trim

Transforms strings by trimming whitespace on decode. Encode is passthrough (no change).

When to use

Use when you need a schema transformation to normalize user input by stripping leading/trailing whitespace.

Details

Decoding applies String.prototype.trim(). Encoding is passthrough and returns the string unchanged. This is not round-trippable if the original had whitespace.

Example (Trimming on decode)

import { Schema, SchemaTransformation } from "effect"

const Trimmed = Schema.String.pipe(
  Schema.decode(SchemaTransformation.trim())
)

See

• toLowerCase
• toUpperCase
• snakeToCamel

Signature

declare const trim: () => Transformation<string, string>

Source

Since v4.0.0