Skip to main content

district42 to JSON-Schema translator and vise versa

Project description

SchemaMaximal

PyPI PyPI - Downloads Python Version

district42 schemas โ‡† JSON Schema

Installation

pip3 install schemax

Usage

Translation

>>> import schemax
>>> from d42 import schema
>>> ExampleSchema = schema.str.len(1, 10)
>>> schemax.to_json_schema(ExampleSchema)
{'type': 'string', 'minLength': 1, 'maxLength': 10}

Also, you could use schemax to translate from JSON-Schema to d42 and generate tests interfaces (in future releases) via command line:

$ schemax translate schema.json
Translation from JSON-Schema to d42-schema for schema.json:
schema.dict({
    'number': schema.int.min(1),
    optional('street_name'): schema.str,
    ...: ...
})

schema.json:

{
  "type": "object",
  "properties": {
    "number": { "type": "integer", "minimum": 1 },
    "street_name": { "type": "string" }
  },
  "required": ["number"],
  "additionalProperties": true
}

Generation

schemax generate my-schema.yml

This command will generate request and response schemas files, API interface and basic scenarios.

You could add basic url to your API as following: --base-url="http://api.example.com".

Making your schemas and interfaces more "friendly" could --humanize flag.

Using SchemaData object in code

import yaml
from schemax import collect_schema_data, SchemaData 

from typing import List

# Also could be JSON OpenAPI file
with open('my_openapi.yaml') as schema_file:
    raw_schema = yaml.load(schema_file, yaml.FullLoader)
    
    parsed_data: List[SchemaData] = collect_schema_data(raw_schema)
    for item in parsed_data:
        print(item.path)
        print(item.response_schema_d42)
        ...

All the data is stored in SchemaData object, which has the following fields:

  • http_method: HTTP method of the request.
  • path: URL path of the request.
  • converted_path: URL path converted to the camel-case for usage in schemax generation.
  • args: Arguments of the request.
  • queries: Query parameters of the request. Currently unsupported and always '[]'.
  • interface_method: Interface name for usage in schemax generation.
  • interface_method_humanized: Interface 'humanized' name for usage in schemax generation.
  • status: Status code for specified schemas.
  • schema_prefix: Schema prefix name for usage in schemax generation.
  • schema_prefix_humanized: Schema prefix 'humanized' name for user in schemax generation.
  • response_schema: Normalized response schema (without $ref).
  • response_schema_d42: Converted to d42 response_schema.
  • request_schema: Normalized request schema (without $ref).
  • request_schema_d42: Converted to d42 request_schema.
  • tags: Tags of the request from OpenAPI schema.

Supported d42 -> JSON Schema types and features

(โœ… - done; ๐Ÿ”ง - planned support; โŒ - unsupportable)

Supported JSON Schema -> d42 types and features

(โœ… - done; ๐Ÿ”ง - planned support; โŒ - unsupportable)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

schemax-2.0.4.tar.gz (21.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

schemax-2.0.4-py3-none-any.whl (20.6 kB view details)

Uploaded Python 3

File details

Details for the file schemax-2.0.4.tar.gz.

File metadata

  • Download URL: schemax-2.0.4.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for schemax-2.0.4.tar.gz
Algorithm Hash digest
SHA256 b33970e34c51f360c466b72ce6a8497823c7b5cf27e5eb016287cc216850cbcb
MD5 36cdbf17ae88668f5410d04a49c2f4be
BLAKE2b-256 dc25a9a7ec6c49c640d3cdc0d9908459df8508b0abab0be3832ef979b8b833c8

See more details on using hashes here.

File details

Details for the file schemax-2.0.4-py3-none-any.whl.

File metadata

  • Download URL: schemax-2.0.4-py3-none-any.whl
  • Upload date:
  • Size: 20.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for schemax-2.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 9802c154f9a230b4ab51391dac2b479df66e3dacc11a8a5dc4a8bba7accc10f1
MD5 238e12a539b6b4279396bfdb86bbb08a
BLAKE2b-256 007729e7561aa92f3500c82917e58ed143f451ccbf5460187f457294b9849d6e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page