Module aws_lambda_powertools.utilities.parser.parser
Expand source code
import logging
from typing import Any, Callable, Dict, Optional
from ...middleware_factory import lambda_handler_decorator
from ..typing import LambdaContext
from .envelopes.base import Envelope
from .exceptions import InvalidEnvelopeError, InvalidModelTypeError
from .types import Model
logger = logging.getLogger(__name__)
@lambda_handler_decorator
def event_parser(
handler: Callable[[Any, LambdaContext], Any],
event: Dict[str, Any],
context: LambdaContext,
model: Model,
envelope: Optional[Envelope] = None,
) -> Any:
"""Lambda handler decorator to parse & validate events using Pydantic models
It requires a model that implements Pydantic BaseModel to parse & validate the event.
When an envelope is given, it'll use the following logic:
1. Parse the event against the envelope model first e.g. EnvelopeModel(**event)
2. Envelope will extract a given key to be parsed against the model e.g. event.detail
This is useful when you need to confirm event wrapper structure, and
b) selectively extract a portion of your payload for parsing & validation.
NOTE: If envelope is omitted, the complete event is parsed to match the model parameter BaseModel definition.
Example
-------
**Lambda handler decorator to parse & validate event**
class Order(BaseModel):
id: int
description: str
...
@event_parser(model=Order)
def handler(event: Order, context: LambdaContext):
...
**Lambda handler decorator to parse & validate event - using built-in envelope**
class Order(BaseModel):
id: int
description: str
...
@event_parser(model=Order, envelope=envelopes.EVENTBRIDGE)
def handler(event: Order, context: LambdaContext):
...
Parameters
----------
handler: Callable
Method to annotate on
event: Dict
Lambda event to be parsed & validated
context: LambdaContext
Lambda context object
model: Model
Your data model that will replace the event.
envelope: Envelope
Optional envelope to extract the model from
Raises
------
ValidationError
When input event does not conform with model provided
InvalidModelTypeError
When model given does not implement BaseModel
InvalidEnvelopeError
When envelope given does not implement BaseEnvelope
"""
parsed_event = parse(event=event, model=model, envelope=envelope)
logger.debug(f"Calling handler {handler.__name__}")
return handler(parsed_event, context)
def parse(event: Dict[str, Any], model: Model, envelope: Optional[Envelope] = None) -> Model:
"""Standalone function to parse & validate events using Pydantic models
Typically used when you need fine-grained control over error handling compared to event_parser decorator.
Example
-------
**Lambda handler decorator to parse & validate event**
from aws_lambda_powertools.utilities.parser import ValidationError
class Order(BaseModel):
id: int
description: str
...
def handler(event: Order, context: LambdaContext):
try:
parse(model=Order)
except ValidationError:
...
**Lambda handler decorator to parse & validate event - using built-in envelope**
class Order(BaseModel):
id: int
description: str
...
def handler(event: Order, context: LambdaContext):
try:
parse(model=Order, envelope=envelopes.EVENTBRIDGE)
except ValidationError:
...
Parameters
----------
event: Dict
Lambda event to be parsed & validated
model: Model
Your data model that will replace the event
envelope: Envelope
Optional envelope to extract the model from
Raises
------
ValidationError
When input event does not conform with model provided
InvalidModelTypeError
When model given does not implement BaseModel
InvalidEnvelopeError
When envelope given does not implement BaseEnvelope
"""
if envelope and callable(envelope):
try:
logger.debug(f"Parsing and validating event model with envelope={envelope}")
return envelope().parse(data=event, model=model)
except AttributeError:
raise InvalidEnvelopeError(f"Envelope must implement BaseEnvelope, envelope={envelope}")
try:
logger.debug("Parsing and validating event model; no envelope used")
if isinstance(event, str):
return model.parse_raw(event)
return model.parse_obj(event)
except AttributeError:
raise InvalidModelTypeError(f"Input model must implement BaseModel, model={model}")
Functions
def event_parser(handler: Callable[[Any, aws_lambda_powertools.utilities.lambda_context.LambdaContext], Any], event: Dict[str, Any], context: LambdaContext, model: ~Model, envelope: Union[~Envelope, NoneType] = None) ‑> Any
-
Lambda handler decorator to parse & validate events using Pydantic models
It requires a model that implements Pydantic BaseModel to parse & validate the event.
When an envelope is given, it'll use the following logic:
- Parse the event against the envelope model first e.g. EnvelopeModel(**event)
- Envelope will extract a given key to be parsed against the model e.g. event.detail
This is useful when you need to confirm event wrapper structure, and b) selectively extract a portion of your payload for parsing & validation.
NOTE: If envelope is omitted, the complete event is parsed to match the model parameter BaseModel definition.
Example
Lambda handler decorator to parse & validate event
class Order(BaseModel): id: int description: str ... @event_parser(model=Order) def handler(event: Order, context: LambdaContext): ...
Lambda handler decorator to parse & validate event - using built-in envelope
class Order(BaseModel): id: int description: str ... @event_parser(model=Order, envelope=envelopes.EVENTBRIDGE) def handler(event: Order, context: LambdaContext): ...
Parameters
handler
:Callable
- Method to annotate on
event
:Dict
- Lambda event to be parsed & validated
context
:LambdaContext
- Lambda context object
model
:Model
- Your data model that will replace the event.
envelope
:Envelope
- Optional envelope to extract the model from
Raises
ValidationError
- When input event does not conform with model provided
InvalidModelTypeError
- When model given does not implement BaseModel
InvalidEnvelopeError
- When envelope given does not implement BaseEnvelope
Expand source code
@lambda_handler_decorator def event_parser( handler: Callable[[Any, LambdaContext], Any], event: Dict[str, Any], context: LambdaContext, model: Model, envelope: Optional[Envelope] = None, ) -> Any: """Lambda handler decorator to parse & validate events using Pydantic models It requires a model that implements Pydantic BaseModel to parse & validate the event. When an envelope is given, it'll use the following logic: 1. Parse the event against the envelope model first e.g. EnvelopeModel(**event) 2. Envelope will extract a given key to be parsed against the model e.g. event.detail This is useful when you need to confirm event wrapper structure, and b) selectively extract a portion of your payload for parsing & validation. NOTE: If envelope is omitted, the complete event is parsed to match the model parameter BaseModel definition. Example ------- **Lambda handler decorator to parse & validate event** class Order(BaseModel): id: int description: str ... @event_parser(model=Order) def handler(event: Order, context: LambdaContext): ... **Lambda handler decorator to parse & validate event - using built-in envelope** class Order(BaseModel): id: int description: str ... @event_parser(model=Order, envelope=envelopes.EVENTBRIDGE) def handler(event: Order, context: LambdaContext): ... Parameters ---------- handler: Callable Method to annotate on event: Dict Lambda event to be parsed & validated context: LambdaContext Lambda context object model: Model Your data model that will replace the event. envelope: Envelope Optional envelope to extract the model from Raises ------ ValidationError When input event does not conform with model provided InvalidModelTypeError When model given does not implement BaseModel InvalidEnvelopeError When envelope given does not implement BaseEnvelope """ parsed_event = parse(event=event, model=model, envelope=envelope) logger.debug(f"Calling handler {handler.__name__}") return handler(parsed_event, context)
def parse(event: Dict[str, Any], model: ~Model, envelope: Union[~Envelope, NoneType] = None) ‑> ~Model
-
Standalone function to parse & validate events using Pydantic models
Typically used when you need fine-grained control over error handling compared to event_parser decorator.
Example
Lambda handler decorator to parse & validate event
from aws_lambda_powertools.utilities.parser import ValidationError class Order(BaseModel): id: int description: str ... def handler(event: Order, context: LambdaContext): try: parse(model=Order) except ValidationError: ...
Lambda handler decorator to parse & validate event - using built-in envelope
class Order(BaseModel): id: int description: str ... def handler(event: Order, context: LambdaContext): try: parse(model=Order, envelope=envelopes.EVENTBRIDGE) except ValidationError: ...
Parameters
event
:Dict
- Lambda event to be parsed & validated
model
:Model
- Your data model that will replace the event
envelope
:Envelope
- Optional envelope to extract the model from
Raises
ValidationError
- When input event does not conform with model provided
InvalidModelTypeError
- When model given does not implement BaseModel
InvalidEnvelopeError
- When envelope given does not implement BaseEnvelope
Expand source code
def parse(event: Dict[str, Any], model: Model, envelope: Optional[Envelope] = None) -> Model: """Standalone function to parse & validate events using Pydantic models Typically used when you need fine-grained control over error handling compared to event_parser decorator. Example ------- **Lambda handler decorator to parse & validate event** from aws_lambda_powertools.utilities.parser import ValidationError class Order(BaseModel): id: int description: str ... def handler(event: Order, context: LambdaContext): try: parse(model=Order) except ValidationError: ... **Lambda handler decorator to parse & validate event - using built-in envelope** class Order(BaseModel): id: int description: str ... def handler(event: Order, context: LambdaContext): try: parse(model=Order, envelope=envelopes.EVENTBRIDGE) except ValidationError: ... Parameters ---------- event: Dict Lambda event to be parsed & validated model: Model Your data model that will replace the event envelope: Envelope Optional envelope to extract the model from Raises ------ ValidationError When input event does not conform with model provided InvalidModelTypeError When model given does not implement BaseModel InvalidEnvelopeError When envelope given does not implement BaseEnvelope """ if envelope and callable(envelope): try: logger.debug(f"Parsing and validating event model with envelope={envelope}") return envelope().parse(data=event, model=model) except AttributeError: raise InvalidEnvelopeError(f"Envelope must implement BaseEnvelope, envelope={envelope}") try: logger.debug("Parsing and validating event model; no envelope used") if isinstance(event, str): return model.parse_raw(event) return model.parse_obj(event) except AttributeError: raise InvalidModelTypeError(f"Input model must implement BaseModel, model={model}")