freddy

Provides randomized json data (samples) that complies with a given json schema.

Usage

from pprint import pprint
import jsonschema
import freddy

family_schema = {
    "type": "array",
    "items": {
        "properties": {
            "member": {"$ref": "#/definitions/person"},
            "role": {"$ref": "#/definitions/role"},
        },
        "type": "object",
    },
    "maxItems": 5,
    "minItems": 1,
    "definitions": {
        "person": {
            "properties": {
                "age": {"type": "integer"},
                "name": {"type": "string"},
                "pets": {
                    "items": {"$ref": "#/definitions/pet"},
                    "maxItems": 2,
                    "type": "array",
                },
            },
            "type": "object",
        },
        "pet": {
            "properties": {
                "kind": {"enum": ["dog", "cat"], "type": "string"},
                "name": {"type": "string"},
            },
            "type": "object",
        },
        "role": {
            "enum": [
                "father",
                "mather",
                "son",
                "daughter",
                "aunt",
                "grandma",
                "grandpa",
            ],
            "type": "string",
        },
    }
}

# Get 10 random samples
for i in range(10):
    sample_family = freddy.jsonschema(family_schema)

    # Validate against schema
    jsonschema.validate(sample_family, family_schema)

pprint(sample_family)
[
    {"member": {"age": 77, "name": "k", "pets": []}, "role": "grandma"},
    {"member": {"age": 64, "name": "naifvxf", "pets": []}, "role": "grandpa"},
    {
        "member": {
            "age": 23,
            "name": "itruydotrj",
            "pets": [{"kind": "cat", "name": "o"}, {"kind": "cat", "name": "uonmvfgd"}],
        },
        "role": "son",
    },
]

Install

pip install freddy

Development

# Clone the repo
git@github.com:lferran/freddy.git
cd freddy

make develop

# Run tests
make tests

JSON Schema support

Conforms to JSON Schema Draft 7. The following features are supported:

• boolean type

• null type

• string type

• number type

• integer type

• array type

• object type

• definitions/references

• Boolean type

• consts

• exclusiveMinimum and exclusiveMaximum in integers and numbers.

• number multipleOf keyword

• required keyword

• additionalProperties

• string pattern regex keyword

• string built-in formats

• be able to provide custom basic type factories

• multiple types: {"type": ["string", "array"]}

• look into allOf: generate multiple objects + merge

Does not support:

• ID referencing
• allOf and not keywords
• conditional keywords if, then and else
• patternProperties on objects
• property and schema dependencies on objects.