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Novus Examples
json166 B

Inventory BOM Multi-level (JSON)

Multi-level bill-of-materials SAMPLE for MRP and assembly planning tests.

Data importJSON parsing
Preview, first 14 linesjson
{
  "sku": "WIDGET-100",
  "components": [
    {
      "part": "CAP-01",
      "qty": 2
    },
    {
      "part": "BASE-02",
      "qty": 1
    }
  ]
}

Specifications

Domain
inventory
Levels
2

Testing contract

Reference control
Scenario
Read this small bill of materials and enumerate the direct children of WIDGET-100.
Expected result
The root has exactly two leaf components: CAP-01 quantity 2 and BASE-02 quantity 1. No nested subassembly exists; this is a one-level assembly example, not a deep MRP explosion test.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Inventory BOM Multi-level (JSON)” is a deterministic Novus Examples fixture for Data import, JSON parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: JSON · 166 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import json

with open("bom-multi-level.json") as f:
    data = json.load(f)
print(type(data), len(data))

Related files

Generated by generation/data_wave_f.py. Free for any use, no attribution required, license.