| Developed by | Guardrails AI | | Date of development | Feb 15, 2024 | | Validator type | Format | | Blog | | | License | Apache 2 | | Input/Output | Output |
This validator ensures that a generated output is a valid OpenAPI Specification.
- Dependencies:
- guardrails-ai>=0.4.0
- jsonschema
- pyyaml
- referencing
$ guardrails hub install hub://guardrails/valid_open_api_specIn this example, we’ll test that a generated value is a valid OpenAPI spec.
import json
# Import Guard and Validator
from guardrails.hub import ValidOpenApiSpec
from guardrails import Guard
# Setup Guard
guard = Guard().use(
ValidOpenApiSpec, on_fail="exception"
)
guard.validate(
json.dumps(
{"openapi": "3.0.0", "info": {"title": "API", "version": "1.0.0"}, "paths": {}}
)
) # Validator passes
try:
guard.validate(
json.dumps({"openapi": "3.0.0", "info": {"title": "API"}})
) # Validator fails; note the missing version
except Exception as e:
print(e) # Raises an exceptionOutput:
Validation failed for field with errors: Value is not a valid OpenAPI Specification.
The following fields are invalid:
{
"$": [
"'paths' is a required property"
],
"$.info": [
"'version' is a required property"
]
}__init__(self, on_fail="noop")
-
Initializes a new instance of the Validator class.
on_fail(str, Callable): The policy to enact when a validator fails. Ifstr, must be one ofreask,fix,filter,refrain,noop,exceptionorfix_reask. Otherwise, must be a function that is called when the validator fails.
Parameters
__call__(self, value, metadata={}) -> ValidationOutcome
-
Validates the given `value` using the rules defined in this validator, relying on the `metadata` provided to customize the validation process. This method is automatically invoked by `guard.parse(...)`, ensuring the validation logic is applied to the input data.
- This method should not be called directly by the user. Instead, invoke
guard.parse(...)where this method will be called internally for each associated Validator. - When invoking
guard.parse(...), ensure to pass the appropriatemetadatadictionary that includes keys and values required by this validator. Ifguardis associated with multiple validators, combine all necessary metadata into a single dictionary. value(Any): The input value to validate.metadata(dict): A dictionary containing metadata required for validation. No additional metadata keys are needed for this validator.
Note:
Parameters