required
Type: object
Signature: object.required(keys?)
What It Is
object.required(keys?) parses markdown with document-level structure checks, explicit section targeting, and typed field extraction, so this page defines a strict required contract instead of permissive text scraping. The schema combines operators such as object(), string(), min(), and optional() to map 1 h1 heading and 1 h2 section into top-level keys title and data for this required behavior. If parsing fails, the result carries issue codes like invalid_type, giving the caller precise debugging context for required paths.
When to Use
Use object.required(keys?) when you need composing reusable object contracts across related markdown schemas for required workflows and want parsing behavior that remains enforceable in review and CI. Avoid it for one-off payloads where object composition adds no reuse value in required documents, because it introduces key-level strictness that improves typing but rejects ad-hoc variations. It pairs well with object(), string(), min(), and optional() to keep required extraction boundaries explicit while preserving typed output for downstream code.
object.required(keys?)
Input Markdown
# RUNBOOK: Object Required
## 0. META
- service: fraud-api
- owner: risk-platformSchema
import { md } from '@markschema/mdshape'
const base = md.object({
service: md.string().min(3),
owner: md.string().optional(),
})
const schema = md.document({
title: md.heading(1),
data: md
.section('0. META')
.fields({
service: md.string().min(3),
owner: md.string().optional(),
})
.pipeline(base.required(['owner'])),
})Result
Success
{
"success": true,
"data": {
"title": "RUNBOOK: Object Required",
"data": {
"service": "fraud-api",
"owner": "risk-platform"
}
}
}Error
Failure trigger: remove owner from 0. META; base.required(['owner']) fails because the field becomes mandatory.
{
"success": false,
"error": {
"issues": [
{
"code": "missing_heading",
"message": "Missing heading with depth 1",
"path": [
"title"
],
"line": 1,
"position": {
"start": {
"line": 1,
"column": 1
}
}
}
]
}
}