strict

Type: object

Signature: object.strict()

What It Is

object.strict() is used here as a contract-first parser powered by document-level structure checks, explicit section targeting, and typed field extraction for strict scenarios. With document(), heading(), section(), and fields() in the schema, 1 h1 heading and 1 h2 section is converted into top-level keys title and data without manual strict post-processing. Error cases report issue codes like unrecognized_key, making operational diagnostics for strict flows consistent across local runs and CI.

When to Use

This method is a strong fit for composing reusable object contracts across related markdown schemas where deterministic strict parsing matters more than free-form flexibility. Do not default to it for one-off payloads where object composition adds no reuse value around strict; the main cost is key-level strictness that improves typing but rejects ad-hoc variations. For best results, compose object.strict() with document(), heading(), section(), and fields() so strict schema intent stays readable and output remains predictable.

object.strict()

Input Markdown

# RUNBOOK: Object Strict

## 0. META

- service: fraud-api

Schema

import { md } from '@markschema/mdshape'

const schema = md.document({
  title: md.heading(1),
  data: md.section('0. META').fields({ service: md.string().min(3) }),
})

Result

Success

{
  "success": true,
  "data": {
    "title": "RUNBOOK: Object Strict",
    "data": {
      "service": "fraud-api"
    }
  }
}

Error

Failure trigger: The input violates one or more constraints declared in the schema; use issues[].path and issues[].code to locate the exact failing node.

Error case input:

# RUNBOOK: Object Strict

## 0. META

service: fraud-api
extra: not-allowed

{
  "success": false,
  "error": {
    "issues": [
      {
        "code": "missing_heading",
        "message": "Missing heading with depth 1",
        "path": [
          "title"
        ],
        "line": 1,
        "position": {
          "start": {
            "line": 1,
            "column": 1
          }
        }
      }
    ]
  }
}