refactor(batch): add from __future__ import annotations (#4993)

* refactor(batch): add from __future__ import annotations

and update code according to ruff rules TCH, UP006, UP007, UP037 and
FA100.

* Fixing types in Python 3.8 and 3.9

---------

Co-authored-by: Leandro Damascena <[email protected]>

aws_lambda_powertools/utilities/batch/base.py

@@ -1,8 +1,9 @@
 # -*- coding: utf-8 -*-
-
 """
 Batch processing utilities
 """
+from __future__ import annotations
+
 import asyncio
 import copy
 import inspect
@@ -11,22 +12,28 @@
 import sys
 from abc import ABC, abstractmethod
 from enum import Enum
-from typing import Any, Callable, List, Optional, Tuple, Union, overload
+from typing import TYPE_CHECKING, Any, Callable, Tuple, Union, overload
 
 from aws_lambda_powertools.shared import constants
 from aws_lambda_powertools.utilities.batch.exceptions import (
     BatchProcessingError,
     ExceptionInfo,
 )
-from aws_lambda_powertools.utilities.batch.types import BatchTypeModels, PartialItemFailureResponse, PartialItemFailures
+from aws_lambda_powertools.utilities.batch.types import BatchTypeModels
 from aws_lambda_powertools.utilities.data_classes.dynamo_db_stream_event import (
     DynamoDBRecord,
 )
 from aws_lambda_powertools.utilities.data_classes.kinesis_stream_event import (
     KinesisStreamRecord,
 )
 from aws_lambda_powertools.utilities.data_classes.sqs_event import SQSRecord
-from aws_lambda_powertools.utilities.typing import LambdaContext
+
+if TYPE_CHECKING:
+    from aws_lambda_powertools.utilities.batch.types import (
+        PartialItemFailureResponse,
+        PartialItemFailures,
+    )
+    from aws_lambda_powertools.utilities.typing import LambdaContext
 
 logger = logging.getLogger(__name__)
 
@@ -41,7 +48,7 @@ class EventType(Enum):
 # and depending on what EventType it's passed it'll correctly map to the right record
 # When using Pydantic Models, it'll accept any subclass from SQS, DynamoDB and Kinesis
 EventSourceDataClassTypes = Union[SQSRecord, KinesisStreamRecord, DynamoDBRecord]
-BatchEventTypes = Union[EventSourceDataClassTypes, "BatchTypeModels"]
+BatchEventTypes = Union[EventSourceDataClassTypes, BatchTypeModels]
 SuccessResponse = Tuple[str, Any, BatchEventTypes]
 FailureResponse = Tuple[str, str, BatchEventTypes]
 
@@ -54,9 +61,9 @@ class BasePartialProcessor(ABC):
     lambda_context: LambdaContext
 
     def __init__(self):
-        self.success_messages: List[BatchEventTypes] = []
-        self.fail_messages: List[BatchEventTypes] = []
-        self.exceptions: List[ExceptionInfo] = []
+        self.success_messages: list[BatchEventTypes] = []
+        self.fail_messages: list[BatchEventTypes] = []
+        self.exceptions: list[ExceptionInfo] = []
 
     @abstractmethod
     def _prepare(self):
@@ -79,7 +86,7 @@ def _process_record(self, record: dict):
         """
         raise NotImplementedError()
 
-    def process(self) -> List[Tuple]:
+    def process(self) -> list[tuple]:
         """
         Call instance's handler for each record.
         """
@@ -92,7 +99,7 @@ async def _async_process_record(self, record: dict):
         """
         raise NotImplementedError()
 
-    def async_process(self) -> List[Tuple]:
+    def async_process(self) -> list[tuple]:
         """
         Async call instance's handler for each record.
 
@@ -135,13 +142,13 @@ def __enter__(self):
     def __exit__(self, exception_type, exception_value, traceback):
         self._clean()
 
-    def __call__(self, records: List[dict], handler: Callable, lambda_context: Optional[LambdaContext] = None):
+    def __call__(self, records: list[dict], handler: Callable, lambda_context: LambdaContext | None = None):
         """
         Set instance attributes before execution
 
         Parameters
         ----------
-        records: List[dict]
+        records: list[dict]
             List with objects to be processed.
         handler: Callable
             Callable to process "records" entries.
@@ -222,14 +229,14 @@ def failure_handler(self, record, exception: ExceptionInfo) -> FailureResponse:
 class BasePartialBatchProcessor(BasePartialProcessor):  # noqa
     DEFAULT_RESPONSE: PartialItemFailureResponse = {"batchItemFailures": []}
 
-    def __init__(self, event_type: EventType, model: Optional["BatchTypeModels"] = None):
+    def __init__(self, event_type: EventType, model: BatchTypeModels | None = None):
         """Process batch and partially report failed items
 
         Parameters
         ----------
         event_type: EventType
             Whether this is a SQS, DynamoDB Streams, or Kinesis Data Stream event
-        model: Optional["BatchTypeModels"]
+        model: BatchTypeModels | None
             Parser's data model using either SqsRecordModel, DynamoDBStreamRecordModel, KinesisDataStreamRecord
 
         Exceptions
@@ -294,7 +301,7 @@ def _has_messages_to_report(self) -> bool:
     def _entire_batch_failed(self) -> bool:
         return len(self.exceptions) == len(self.records)
 
-    def _get_messages_to_report(self) -> List[PartialItemFailures]:
+    def _get_messages_to_report(self) -> list[PartialItemFailures]:
         """
         Format messages to use in batch deletion
         """
@@ -343,13 +350,13 @@ def _to_batch_type(
         self,
         record: dict,
         event_type: EventType,
-        model: "BatchTypeModels",
-    ) -> "BatchTypeModels": ...  # pragma: no cover
+        model: BatchTypeModels,
+    ) -> BatchTypeModels: ...  # pragma: no cover
 
     @overload
     def _to_batch_type(self, record: dict, event_type: EventType) -> EventSourceDataClassTypes: ...  # pragma: no cover
 
-    def _to_batch_type(self, record: dict, event_type: EventType, model: Optional["BatchTypeModels"] = None):
+    def _to_batch_type(self, record: dict, event_type: EventType, model: BatchTypeModels | None = None):
         if model is not None:
             # If a model is provided, we assume Pydantic is installed and we need to disable v2 warnings
             return model.model_validate(record)
@@ -363,7 +370,7 @@ def _register_model_validation_error_record(self, record: dict):
         # and downstream we can correctly collect the correct message id identifier and make the failed record available
         # see https://github.com/aws-powertools/powertools-lambda-python/issues/2091
         logger.debug("Record cannot be converted to customer's model; converting without model")
-        failed_record: "EventSourceDataClassTypes" = self._to_batch_type(record=record, event_type=self.event_type)
+        failed_record: EventSourceDataClassTypes = self._to_batch_type(record=record, event_type=self.event_type)
         return self.failure_handler(record=failed_record, exception=sys.exc_info())
 
 
@@ -453,7 +460,7 @@ def record_handler(record: DynamoDBRecord):
         logger.info(record.dynamodb.new_image)
         payload: dict = json.loads(record.dynamodb.new_image.get("item"))
         # alternatively:
-        # changes: Dict[str, Any] = record.dynamodb.new_image  # noqa: ERA001
+        # changes: dict[str, Any] = record.dynamodb.new_image  # noqa: ERA001
         # payload = change.get("Message") -> "<payload>"
         ...
 
@@ -481,7 +488,7 @@ def lambda_handler(event, context: LambdaContext):
     async def _async_process_record(self, record: dict):
         raise NotImplementedError()
 
-    def _process_record(self, record: dict) -> Union[SuccessResponse, FailureResponse]:
+    def _process_record(self, record: dict) -> SuccessResponse | FailureResponse:
         """
         Process a record with instance's handler
 
@@ -490,7 +497,7 @@ def _process_record(self, record: dict) -> Union[SuccessResponse, FailureRespons
         record: dict
             A batch record to be processed.
         """
-        data: Optional["BatchTypeModels"] = None
+        data: BatchTypeModels | None = None
         try:
             data = self._to_batch_type(record=record, event_type=self.event_type, model=self.model)
             if self._handler_accepts_lambda_context:
@@ -602,7 +609,7 @@ async def record_handler(record: DynamoDBRecord):
         logger.info(record.dynamodb.new_image)
         payload: dict = json.loads(record.dynamodb.new_image.get("item"))
         # alternatively:
-        # changes: Dict[str, Any] = record.dynamodb.new_image  # noqa: ERA001
+        # changes: dict[str, Any] = record.dynamodb.new_image  # noqa: ERA001
         # payload = change.get("Message") -> "<payload>"
         ...
 
@@ -630,7 +637,7 @@ def lambda_handler(event, context: LambdaContext):
     def _process_record(self, record: dict):
         raise NotImplementedError()
 
-    async def _async_process_record(self, record: dict) -> Union[SuccessResponse, FailureResponse]:
+    async def _async_process_record(self, record: dict) -> SuccessResponse | FailureResponse:
         """
         Process a record with instance's handler
 
@@ -639,7 +646,7 @@ async def _async_process_record(self, record: dict) -> Union[SuccessResponse, Fa
         record: dict
             A batch record to be processed.
         """
-        data: Optional["BatchTypeModels"] = None
+        data: BatchTypeModels | None = None
         try:
             data = self._to_batch_type(record=record, event_type=self.event_type, model=self.model)
             if self._handler_accepts_lambda_context:

aws_lambda_powertools/utilities/batch/decorators.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import warnings
-from typing import Any, Awaitable, Callable, Dict, List
+from typing import TYPE_CHECKING, Any, Awaitable, Callable
 
 from typing_extensions import deprecated
 
@@ -12,10 +12,12 @@
     BatchProcessor,
     EventType,
 )
-from aws_lambda_powertools.utilities.batch.types import PartialItemFailureResponse
-from aws_lambda_powertools.utilities.typing import LambdaContext
 from aws_lambda_powertools.warnings import PowertoolsDeprecationWarning
 
+if TYPE_CHECKING:
+    from aws_lambda_powertools.utilities.batch.types import PartialItemFailureResponse
+    from aws_lambda_powertools.utilities.typing import LambdaContext
+
 
 @lambda_handler_decorator
 @deprecated(
@@ -24,7 +26,7 @@
 )
 def async_batch_processor(
     handler: Callable,
-    event: Dict,
+    event: dict,
     context: LambdaContext,
     record_handler: Callable[..., Awaitable[Any]],
     processor: AsyncBatchProcessor,
@@ -40,7 +42,7 @@ def async_batch_processor(
     ----------
     handler: Callable
         Lambda's handler
-    event: Dict
+    event: dict
         Lambda's Event
     context: LambdaContext
         Lambda's Context
@@ -92,7 +94,7 @@ def async_batch_processor(
 )
 def batch_processor(
     handler: Callable,
-    event: Dict,
+    event: dict,
     context: LambdaContext,
     record_handler: Callable,
     processor: BatchProcessor,
@@ -108,7 +110,7 @@ def batch_processor(
     ----------
     handler: Callable
         Lambda's handler
-    event: Dict
+    event: dict
         Lambda's Event
     context: LambdaContext
         Lambda's Context
@@ -154,7 +156,7 @@ def batch_processor(
 
 
 def process_partial_response(
-    event: Dict,
+    event: dict,
     record_handler: Callable,
     processor: BasePartialBatchProcessor,
     context: LambdaContext | None = None,
@@ -164,7 +166,7 @@ def process_partial_response(
 
     Parameters
     ----------
-    event: Dict
+    event: dict
         Lambda's original event
     record_handler: Callable
         Callable to process each record from the batch
@@ -202,7 +204,7 @@ def handler(event, context):
     * Async batch processors. Use `async_process_partial_response` instead.
     """
     try:
-        records: List[Dict] = event.get("Records", [])
+        records: list[dict] = event.get("Records", [])
     except AttributeError:
         event_types = ", ".join(list(EventType.__members__))
         docs = "https://docs.powertools.aws.dev/lambda/python/latest/utilities/batch/#processing-messages-from-sqs"  # noqa: E501 # long-line
@@ -218,7 +220,7 @@ def handler(event, context):
 
 
 def async_process_partial_response(
-    event: Dict,
+    event: dict,
     record_handler: Callable,
     processor: AsyncBatchProcessor,
     context: LambdaContext | None = None,
@@ -228,7 +230,7 @@ def async_process_partial_response(
 
     Parameters
     ----------
-    event: Dict
+    event: dict
         Lambda's original event
     record_handler: Callable
         Callable to process each record from the batch
@@ -266,7 +268,7 @@ def handler(event, context):
     * Sync batch processors. Use `process_partial_response` instead.
     """
     try:
-        records: List[Dict] = event.get("Records", [])
+        records: list[dict] = event.get("Records", [])
     except AttributeError:
         event_types = ", ".join(list(EventType.__members__))
         docs = "https://docs.powertools.aws.dev/lambda/python/latest/utilities/batch/#processing-messages-from-sqs"  # noqa: E501 # long-line

aws_lambda_powertools/utilities/batch/exceptions.py

@@ -6,13 +6,13 @@
 
 import traceback
 from types import TracebackType
-from typing import List, Optional, Tuple, Type
+from typing import Optional, Tuple, Type
 
 ExceptionInfo = Tuple[Optional[Type[BaseException]], Optional[BaseException], Optional[TracebackType]]
 
 
 class BaseBatchProcessingError(Exception):
-    def __init__(self, msg="", child_exceptions: List[ExceptionInfo] | None = None):
+    def __init__(self, msg="", child_exceptions: list[ExceptionInfo] | None = None):
         super().__init__(msg)
         self.msg = msg
         self.child_exceptions = child_exceptions or []
@@ -30,7 +30,7 @@ def format_exceptions(self, parent_exception_str):
 class BatchProcessingError(BaseBatchProcessingError):
     """When all batch records failed to be processed"""
 
-    def __init__(self, msg="", child_exceptions: List[ExceptionInfo] | None = None):
+    def __init__(self, msg="", child_exceptions: list[ExceptionInfo] | None = None):
         super().__init__(msg, child_exceptions)
 
     def __str__(self):

aws_lambda_powertools/utilities/batch/sqs_fifo_partial_processor.py

@@ -1,12 +1,16 @@
+from __future__ import annotations
+
 import logging
-from typing import Optional, Set
+from typing import TYPE_CHECKING
 
 from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType, ExceptionInfo, FailureResponse
 from aws_lambda_powertools.utilities.batch.exceptions import (
     SQSFifoCircuitBreakerError,
     SQSFifoMessageGroupCircuitBreakerError,
 )
-from aws_lambda_powertools.utilities.batch.types import BatchSqsTypeModel
+
+if TYPE_CHECKING:
+    from aws_lambda_powertools.utilities.batch.types import BatchSqsTypeModel
 
 logger = logging.getLogger(__name__)
 
@@ -62,13 +66,13 @@ def lambda_handler(event, context: LambdaContext):
         None,
     )
 
-    def __init__(self, model: Optional["BatchSqsTypeModel"] = None, skip_group_on_error: bool = False):
+    def __init__(self, model: BatchSqsTypeModel | None = None, skip_group_on_error: bool = False):
         """
         Initialize the SqsFifoProcessor.
 
         Parameters
         ----------
-        model: Optional["BatchSqsTypeModel"]
+        model: BatchSqsTypeModel | None
             An optional model for batch processing.
         skip_group_on_error: bool
             Determines whether to exclusively skip messages from the MessageGroupID that encountered processing failures
@@ -77,7 +81,7 @@ def __init__(self, model: Optional["BatchSqsTypeModel"] = None, skip_group_on_er
         """
         self._skip_group_on_error: bool = skip_group_on_error
         self._current_group_id = None
-        self._failed_group_ids: Set[str] = set()
+        self._failed_group_ids: set[str] = set()
         super().__init__(EventType.SQS, model)
 
     def _process_record(self, record):