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base.py
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import logging
from copy import deepcopy
from typing import Any, Callable, Dict, Optional, Tuple
from aws_lambda_powertools.utilities.idempotency.config import IdempotencyConfig
from aws_lambda_powertools.utilities.idempotency.exceptions import (
IdempotencyAlreadyInProgressError,
IdempotencyInconsistentStateError,
IdempotencyItemAlreadyExistsError,
IdempotencyItemNotFoundError,
IdempotencyKeyError,
IdempotencyPersistenceLayerError,
IdempotencyValidationError,
)
from aws_lambda_powertools.utilities.idempotency.persistence.base import (
STATUS_CONSTANTS,
BasePersistenceLayer,
DataRecord,
)
MAX_RETRIES = 2
logger = logging.getLogger(__name__)
def _prepare_data(data: Any) -> Any:
"""Prepare data for json serialization.
We will convert Python dataclasses, pydantic models or event source data classes to a dict,
otherwise return data as-is.
"""
if hasattr(data, "__dataclass_fields__"):
import dataclasses
return dataclasses.asdict(data)
if callable(getattr(data, "dict", None)):
return data.dict()
return getattr(data, "raw_event", data)
class IdempotencyHandler:
"""
Base class to orchestrate calls to persistence layer.
"""
def __init__(
self,
function: Callable,
function_payload: Any,
config: IdempotencyConfig,
persistence_store: BasePersistenceLayer,
function_args: Optional[Tuple] = None,
function_kwargs: Optional[Dict] = None,
):
"""
Initialize the IdempotencyHandler
Parameters
----------
function_payload: Any
JSON Serializable payload to be hashed
config: IdempotencyConfig
Idempotency Configuration
persistence_store : BasePersistenceLayer
Instance of persistence layer to store idempotency records
function_args: Optional[Tuple]
Function arguments
function_kwargs: Optional[Dict]
Function keyword arguments
"""
self.function = function
self.data = deepcopy(_prepare_data(function_payload))
self.fn_args = function_args
self.fn_kwargs = function_kwargs
persistence_store.configure(config, self.function.__name__)
self.persistence_store = persistence_store
def handle(self) -> Any:
"""
Main entry point for handling idempotent execution of a function.
Returns
-------
Any
Function response
"""
# IdempotencyInconsistentStateError can happen under rare but expected cases
# when persistent state changes in the small time between put & get requests.
# In most cases we can retry successfully on this exception.
for i in range(MAX_RETRIES + 1): # pragma: no cover
try:
return self._process_idempotency()
except IdempotencyInconsistentStateError:
if i == MAX_RETRIES:
raise # Bubble up when exceeded max tries
def _process_idempotency(self):
try:
# We call save_inprogress first as an optimization for the most common case where no idempotent record
# already exists. If it succeeds, there's no need to call get_record.
self.persistence_store.save_inprogress(data=self.data)
except IdempotencyKeyError:
raise
except IdempotencyItemAlreadyExistsError:
# Now we know the item already exists, we can retrieve it
record = self._get_idempotency_record()
return self._handle_for_status(record)
except Exception as exc:
raise IdempotencyPersistenceLayerError("Failed to save in progress record to idempotency store") from exc
return self._get_function_response()
def _get_idempotency_record(self) -> DataRecord:
"""
Retrieve the idempotency record from the persistence layer.
Raises
----------
IdempotencyInconsistentStateError
"""
try:
data_record = self.persistence_store.get_record(data=self.data)
except IdempotencyItemNotFoundError:
# This code path will only be triggered if the record is removed between save_inprogress and get_record.
logger.debug(
f"An existing idempotency record was deleted before we could fetch it. Proceeding with {self.function}"
)
raise IdempotencyInconsistentStateError("save_inprogress and get_record return inconsistent results.")
# Allow this exception to bubble up
except IdempotencyValidationError:
raise
# Wrap remaining unhandled exceptions with IdempotencyPersistenceLayerError to ease exception handling for
# clients
except Exception as exc:
raise IdempotencyPersistenceLayerError("Failed to get record from idempotency store") from exc
return data_record
def _handle_for_status(self, data_record: DataRecord) -> Optional[Dict[Any, Any]]:
"""
Take appropriate action based on data_record's status
Parameters
----------
data_record: DataRecord
Returns
-------
Optional[Dict[Any, Any]
Function's response previously used for this idempotency key, if it has successfully executed already.
Raises
------
AlreadyInProgressError
A function execution is already in progress
IdempotencyInconsistentStateError
The persistence store reports inconsistent states across different requests. Retryable.
"""
# This code path will only be triggered if the record becomes expired between the save_inprogress call and here
if data_record.status == STATUS_CONSTANTS["EXPIRED"]:
raise IdempotencyInconsistentStateError("save_inprogress and get_record return inconsistent results.")
if data_record.status == STATUS_CONSTANTS["INPROGRESS"]:
raise IdempotencyAlreadyInProgressError(
f"Execution already in progress with idempotency key: "
f"{self.persistence_store.event_key_jmespath}={data_record.idempotency_key}"
)
return data_record.response_json_as_dict()
def _get_function_response(self):
try:
response = self.function(*self.fn_args, **self.fn_kwargs)
except Exception as handler_exception:
# We need these nested blocks to preserve function's exception in case the persistence store operation
# also raises an exception
try:
self.persistence_store.delete_record(data=self.data, exception=handler_exception)
except Exception as delete_exception:
raise IdempotencyPersistenceLayerError(
"Failed to delete record from idempotency store"
) from delete_exception
raise
else:
try:
self.persistence_store.save_success(data=self.data, result=response)
except Exception as save_exception:
raise IdempotencyPersistenceLayerError(
"Failed to update record state to success in idempotency store"
) from save_exception
return response