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base.py
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import logging
from typing import Dict, Optional, Union
import fastjsonschema # type: ignore
from aws_lambda_powertools.utilities.validation.exceptions import InvalidSchemaFormatError, SchemaValidationError
logger = logging.getLogger(__name__)
def validate_data_against_schema(
data: Union[Dict, str],
schema: Dict,
formats: Optional[Dict] = None,
handlers: Optional[Dict] = None,
provider_options: Optional[Dict] = None,
):
"""Validate dict data against given JSON Schema
Parameters
----------
data : Dict
Data set to be validated
schema : Dict
JSON Schema to validate against
formats: Dict
Custom formats containing a key (e.g. int64) and a value expressed as regex or callback returning bool
handlers: Dict
Custom methods to retrieve remote schemes, keyed off of URI scheme
provider_options: Dict
Arguments that will be passed directly to the underlying validation call, in this case fastjsonchema.validate.
For all supported arguments see: https://horejsek.github.io/python-fastjsonschema/#fastjsonschema.validate
Raises
------
SchemaValidationError
When schema validation fails against data set
InvalidSchemaFormatError
When JSON schema provided is invalid
"""
try:
formats = formats or {}
handlers = handlers or {}
provider_options = provider_options or {}
fastjsonschema.validate(definition=schema, data=data, formats=formats, handlers=handlers, **provider_options)
except (TypeError, AttributeError, fastjsonschema.JsonSchemaDefinitionException) as e:
raise InvalidSchemaFormatError(f"Schema received: {schema}, Formats: {formats}. Error: {e}")
except fastjsonschema.JsonSchemaValueException as e:
message = f"Failed schema validation. Error: {e.message}, Path: {e.path}, Data: {e.value}" # noqa: B306
raise SchemaValidationError(
message,
validation_message=e.message, # noqa: B306
name=e.name,
path=e.path,
value=e.value,
definition=e.definition,
rule=e.rule,
rule_definition=e.rule_definition,
)