Module aws_lambda_powertools.utilities.validation

Simple validator to enforce incoming/outgoing event conforms with JSON Schema

"""
Simple validator to enforce incoming/outgoing event conforms with JSON Schema
"""

from .exceptions import (
    InvalidEnvelopeExpressionError,
    InvalidSchemaFormatError,
    SchemaValidationError,
)
from .validator import validate, validator

__all__ = [
    "validate",
    "validator",
    "InvalidSchemaFormatError",
    "SchemaValidationError",
    "InvalidEnvelopeExpressionError",
]

Sub-modules

aws_lambda_powertools.utilities.validation.base

aws_lambda_powertools.utilities.validation.envelopes

Built-in envelopes

aws_lambda_powertools.utilities.validation.exceptions

Functions

def validate(event: Any, schema: Dict, formats: Optional[Dict] = None, envelope: Optional[str] = None, jmespath_options: Optional[Dict] = None)

Standalone function to validate event data using a JSON Schema

Typically used when you need more control over the validation process.

Parameters

event : Dict

Lambda event to be validated

schema : Dict

JSON Schema to validate incoming event

envelope : Dict

JMESPath expression to filter data against

jmespath_options : Dict

Alternative JMESPath options to be included when filtering expr

formats : Dict

Custom formats containing a key (e.g. int64) and a value expressed as regex or callback returning bool

Example

Validate event

from aws_lambda_powertools.utilities.validation import validate

def handler(event, context):
    validate(event=event, schema=json_schema_dict)
    return event

Unwrap event before validating against actual payload - using built-in envelopes

from aws_lambda_powertools.utilities.validation import validate, envelopes

def handler(event, context):
    validate(event=event, schema=json_schema_dict, envelope=envelopes.API_GATEWAY_REST)
    return event

Unwrap event before validating against actual payload - using custom JMESPath expression

from aws_lambda_powertools.utilities.validation import validate

def handler(event, context):
    validate(event=event, schema=json_schema_dict, envelope="payload[*].my_data")
    return event

Unwrap and deserialize JSON string event before validating against actual payload - using built-in functions

from aws_lambda_powertools.utilities.validation import validate

def handler(event, context):
    validate(event=event, schema=json_schema_dict, envelope="Records[*].powertools_json(body)")
    return event

Unwrap, decode base64 and deserialize JSON string event before validating against actual payload - using built-in functions

from aws_lambda_powertools.utilities.validation import validate

def handler(event, context):
    validate(event=event, schema=json_schema_dict, envelope="Records[*].kinesis.powertools_json(powertools_base64(data))")
    return event

Unwrap, decompress ZIP archive and deserialize JSON string event before validating against actual payload - using built-in functions

from aws_lambda_powertools.utilities.validation import validate

def handler(event, context):
    validate(event=event, schema=json_schema_dict, envelope="awslogs.powertools_base64_gzip(data) | powertools_json(@).logEvents[*]")
    return event

Raises

SchemaValidationError

When schema validation fails against data set

InvalidSchemaFormatError

When JSON schema provided is invalid

InvalidEnvelopeExpressionError

When JMESPath expression to unwrap event is invalid

Expand source code

def validate(
    event: Any,
    schema: Dict,
    formats: Optional[Dict] = None,
    envelope: Optional[str] = None,
    jmespath_options: Optional[Dict] = None,
):
    """Standalone function to validate event data using a JSON Schema

     Typically used when you need more control over the validation process.

    Parameters
    ----------
    event : Dict
        Lambda event to be validated
    schema : Dict
        JSON Schema to validate incoming event
    envelope : Dict
        JMESPath expression to filter data against
    jmespath_options : Dict
        Alternative JMESPath options to be included when filtering expr
    formats: Dict
        Custom formats containing a key (e.g. int64) and a value expressed as regex or callback returning bool

    Example
    -------

    **Validate event**

        from aws_lambda_powertools.utilities.validation import validate

        def handler(event, context):
            validate(event=event, schema=json_schema_dict)
            return event

    **Unwrap event before validating against actual payload - using built-in envelopes**

        from aws_lambda_powertools.utilities.validation import validate, envelopes

        def handler(event, context):
            validate(event=event, schema=json_schema_dict, envelope=envelopes.API_GATEWAY_REST)
            return event

    **Unwrap event before validating against actual payload - using custom JMESPath expression**

        from aws_lambda_powertools.utilities.validation import validate

        def handler(event, context):
            validate(event=event, schema=json_schema_dict, envelope="payload[*].my_data")
            return event

    **Unwrap and deserialize JSON string event before validating against actual payload - using built-in functions**

        from aws_lambda_powertools.utilities.validation import validate

        def handler(event, context):
            validate(event=event, schema=json_schema_dict, envelope="Records[*].powertools_json(body)")
            return event

    **Unwrap, decode base64 and deserialize JSON string event before validating against actual payload - using built-in functions**

        from aws_lambda_powertools.utilities.validation import validate

        def handler(event, context):
            validate(event=event, schema=json_schema_dict, envelope="Records[*].kinesis.powertools_json(powertools_base64(data))")
            return event

    **Unwrap, decompress ZIP archive and deserialize JSON string event before validating against actual payload - using built-in functions**

        from aws_lambda_powertools.utilities.validation import validate

        def handler(event, context):
            validate(event=event, schema=json_schema_dict, envelope="awslogs.powertools_base64_gzip(data) | powertools_json(@).logEvents[*]")
            return event

    Raises
    ------
    SchemaValidationError
        When schema validation fails against data set
    InvalidSchemaFormatError
        When JSON schema provided is invalid
    InvalidEnvelopeExpressionError
        When JMESPath expression to unwrap event is invalid
    """  # noqa: E501
    if envelope:
        event = jmespath_utils.extract_data_from_envelope(
            data=event,
            envelope=envelope,
            jmespath_options=jmespath_options,
        )

    validate_data_against_schema(data=event, schema=schema, formats=formats)

def validator(handler: Callable, event: Union[Dict, str], context: Any, inbound_schema: Optional[Dict] = None, inbound_formats: Optional[Dict] = None, outbound_schema: Optional[Dict] = None, outbound_formats: Optional[Dict] = None, envelope: str = '', jmespath_options: Optional[Dict] = None) ‑> Any

Lambda handler decorator to validate incoming/outbound data using a JSON Schema

Parameters

handler : Callable

Method to annotate on

event : Dict

Lambda event to be validated

context : Any

Lambda context object

inbound_schema : Dict

JSON Schema to validate incoming event

outbound_schema : Dict

JSON Schema to validate outbound event

envelope : Dict

JMESPath expression to filter data against

jmespath_options : Dict

Alternative JMESPath options to be included when filtering expr

inbound_formats : Dict

Custom formats containing a key (e.g. int64) and a value expressed as regex or callback returning bool

outbound_formats : Dict

Custom formats containing a key (e.g. int64) and a value expressed as regex or callback returning bool

Example

Validate incoming event

from aws_lambda_powertools.utilities.validation import validator

@validator(inbound_schema=json_schema_dict)
def handler(event, context):
    return event

Validate incoming and outgoing event

from aws_lambda_powertools.utilities.validation import validator

@validator(inbound_schema=json_schema_dict, outbound_schema=response_json_schema_dict)
def handler(event, context):
    return event

Unwrap event before validating against actual payload - using built-in envelopes

from aws_lambda_powertools.utilities.validation import validator, envelopes

@validator(inbound_schema=json_schema_dict, envelope=envelopes.API_GATEWAY_REST)
def handler(event, context):
    return event

Unwrap event before validating against actual payload - using custom JMESPath expression

from aws_lambda_powertools.utilities.validation import validator

@validator(inbound_schema=json_schema_dict, envelope="payload[*].my_data")
def handler(event, context):
    return event

Unwrap and deserialize JSON string event before validating against actual payload - using built-in functions

from aws_lambda_powertools.utilities.validation import validator

@validator(inbound_schema=json_schema_dict, envelope="Records[*].powertools_json(body)")
def handler(event, context):
    return event

Unwrap, decode base64 and deserialize JSON string event before validating against actual payload - using built-in functions

from aws_lambda_powertools.utilities.validation import validator

@validator(inbound_schema=json_schema_dict, envelope="Records[*].kinesis.powertools_json(powertools_base64(data))")
def handler(event, context):
    return event

Unwrap, decompress ZIP archive and deserialize JSON string event before validating against actual payload - using built-in functions

from aws_lambda_powertools.utilities.validation import validator

@validator(inbound_schema=json_schema_dict, envelope="awslogs.powertools_base64_gzip(data) | powertools_json(@).logEvents[*]")
def handler(event, context):
    return event

Returns

Any

Lambda handler response

Raises

SchemaValidationError

When schema validation fails against data set

InvalidSchemaFormatError

When JSON schema provided is invalid

InvalidEnvelopeExpressionError

When JMESPath expression to unwrap event is invalid

Expand source code

@lambda_handler_decorator
def validator(
    handler: Callable,
    event: Union[Dict, str],
    context: Any,
    inbound_schema: Optional[Dict] = None,
    inbound_formats: Optional[Dict] = None,
    outbound_schema: Optional[Dict] = None,
    outbound_formats: Optional[Dict] = None,
    envelope: str = "",
    jmespath_options: Optional[Dict] = None,
) -> Any:
    """Lambda handler decorator to validate incoming/outbound data using a JSON Schema

    Parameters
    ----------
    handler : Callable
        Method to annotate on
    event : Dict
        Lambda event to be validated
    context : Any
        Lambda context object
    inbound_schema : Dict
        JSON Schema to validate incoming event
    outbound_schema : Dict
        JSON Schema to validate outbound event
    envelope : Dict
        JMESPath expression to filter data against
    jmespath_options : Dict
        Alternative JMESPath options to be included when filtering expr
    inbound_formats: Dict
        Custom formats containing a key (e.g. int64) and a value expressed as regex or callback returning bool
    outbound_formats: Dict
        Custom formats containing a key (e.g. int64) and a value expressed as regex or callback returning bool

    Example
    -------

    **Validate incoming event**

        from aws_lambda_powertools.utilities.validation import validator

        @validator(inbound_schema=json_schema_dict)
        def handler(event, context):
            return event

    **Validate incoming and outgoing event**

        from aws_lambda_powertools.utilities.validation import validator

        @validator(inbound_schema=json_schema_dict, outbound_schema=response_json_schema_dict)
        def handler(event, context):
            return event

    **Unwrap event before validating against actual payload - using built-in envelopes**

        from aws_lambda_powertools.utilities.validation import validator, envelopes

        @validator(inbound_schema=json_schema_dict, envelope=envelopes.API_GATEWAY_REST)
        def handler(event, context):
            return event

    **Unwrap event before validating against actual payload - using custom JMESPath expression**

        from aws_lambda_powertools.utilities.validation import validator

        @validator(inbound_schema=json_schema_dict, envelope="payload[*].my_data")
        def handler(event, context):
            return event

    **Unwrap and deserialize JSON string event before validating against actual payload - using built-in functions**

        from aws_lambda_powertools.utilities.validation import validator

        @validator(inbound_schema=json_schema_dict, envelope="Records[*].powertools_json(body)")
        def handler(event, context):
            return event

    **Unwrap, decode base64 and deserialize JSON string event before validating against actual payload - using built-in functions**

        from aws_lambda_powertools.utilities.validation import validator

        @validator(inbound_schema=json_schema_dict, envelope="Records[*].kinesis.powertools_json(powertools_base64(data))")
        def handler(event, context):
            return event

    **Unwrap, decompress ZIP archive and deserialize JSON string event before validating against actual payload - using built-in functions**

        from aws_lambda_powertools.utilities.validation import validator

        @validator(inbound_schema=json_schema_dict, envelope="awslogs.powertools_base64_gzip(data) | powertools_json(@).logEvents[*]")
        def handler(event, context):
            return event

    Returns
    -------
    Any
        Lambda handler response

    Raises
    ------
    SchemaValidationError
        When schema validation fails against data set
    InvalidSchemaFormatError
        When JSON schema provided is invalid
    InvalidEnvelopeExpressionError
        When JMESPath expression to unwrap event is invalid
    """  # noqa: E501
    if envelope:
        event = jmespath_utils.extract_data_from_envelope(
            data=event,
            envelope=envelope,
            jmespath_options=jmespath_options,
        )

    if inbound_schema:
        logger.debug("Validating inbound event")
        validate_data_against_schema(data=event, schema=inbound_schema, formats=inbound_formats)

    response = handler(event, context)

    if outbound_schema:
        logger.debug("Validating outbound event")
        validate_data_against_schema(data=response, schema=outbound_schema, formats=outbound_formats)

    return response

Classes

class InvalidEnvelopeExpressionError (*args, **kwargs)

When JMESPath fails to parse expression

Expand source code

class InvalidEnvelopeExpressionError(Exception):
    """When JMESPath fails to parse expression"""

Ancestors

• builtins.Exception
• builtins.BaseException

class InvalidSchemaFormatError (*args, **kwargs)

When JSON Schema is in invalid format

Expand source code

class InvalidSchemaFormatError(Exception):
    """When JSON Schema is in invalid format"""

Ancestors

• builtins.Exception
• builtins.BaseException

class SchemaValidationError (message: Optional[str] = None, validation_message: Optional[str] = None, name: Optional[str] = None, path: Optional[List] = None, value: Optional[Any] = None, definition: Optional[Any] = None, rule: Optional[str] = None, rule_definition: Optional[Any] = None)

When serialization fail schema validation

Parameters

message : str, optional

Powertools for AWS Lambda (Python) formatted error message

validation_message : str, optional

Containing human-readable information what is wrong (e.g. data.property[index] must be smaller than or equal to 42)

name : str, optional

name of a path in the data structure (e.g. data.property[index])

path : List, optional

path as an array in the data structure (e.g. ['data', 'property', 'index']),

value : Any, optional

The invalid value

definition : Any, optional

The full rule definition (e.g. 42)

rule : str, optional

rule which the data is breaking (e.g. maximum)

rule_definition : Any, optional

The specific rule definition (e.g. 42)

Expand source code

class SchemaValidationError(Exception):
    """When serialization fail schema validation"""

    def __init__(
        self,
        message: Optional[str] = None,
        validation_message: Optional[str] = None,
        name: Optional[str] = None,
        path: Optional[List] = None,
        value: Optional[Any] = None,
        definition: Optional[Any] = None,
        rule: Optional[str] = None,
        rule_definition: Optional[Any] = None,
    ):
        """

        Parameters
        ----------
        message : str, optional
            Powertools for AWS Lambda (Python) formatted error message
        validation_message : str, optional
            Containing human-readable information what is wrong
            (e.g. `data.property[index] must be smaller than or equal to 42`)
        name : str, optional
            name of a path in the data structure
            (e.g. `data.property[index]`)
        path: List, optional
            `path` as an array in the data structure
            (e.g. `['data', 'property', 'index']`),
        value : Any, optional
            The invalid value
        definition : Any, optional
            The full rule `definition`
            (e.g. `42`)
        rule : str, optional
            `rule` which the `data` is breaking
            (e.g. `maximum`)
        rule_definition : Any, optional
            The specific rule `definition`
            (e.g. `42`)
        """
        super().__init__(message)
        self.message = message
        self.validation_message = validation_message
        self.name = name
        self.path = path
        self.value = value
        self.definition = definition
        self.rule = rule
        self.rule_definition = rule_definition

Ancestors

• builtins.Exception
• builtins.BaseException