jj-spec-validator

Usage

1. Decorate your mocked function with @validate_spec(), providing a link to a YAML or JSON OpenAPI spec.

import jj
from jj.mock import mocked
from jj_spec_validator import validate_spec

@validate_spec(spec_link="http://example.com/api/users/spec.yml")
async def your_mocked_function():
    matcher = jj.match("GET", "/users")
    response = jj.Response(status=200, json=[])
    
    mock = await mocked(matcher, response)

1. Control discrepancy handling with validate_level key:
   • "error" (default, raises error)
   • "warning" (prints warning, continues execution)
   • "skip" (skips validation)

@validate_spec(spec_link="http://example.com/spec.yml", validate_level="warning")

1. is_strict key (in development) will allow choosing between strict and non-strict comparison. Currently, non-strict comparison is used.