refactor(tests): use standard collections for types + refactor code

ruff.toml

@@ -98,5 +98,5 @@ runtime-evaluated-base-classes = ["pydantic.BaseModel"]
 # Maintenance: we're keeping EphemeralMetrics code in case of Hyrum's law so we can quickly revert it
 "aws_lambda_powertools/metrics/metrics.py" = ["ERA001"]
 "examples/*" = ["FA100", "TCH"]
-"tests/*" = ["FA100", "TCH"]
+"tests/*" = ["FA100"]
 "aws_lambda_powertools/utilities/parser/models/*" = ["FA100"]

tests/e2e/utils/data_fetcher/traces.py

@@ -1,17 +1,19 @@
 import json
 from datetime import datetime, timedelta
-from typing import Any, Dict, Generator, List, Optional
+from typing import TYPE_CHECKING, Any, Dict, Generator, List, Optional
 
 import boto3
 from botocore.paginate import PageIterator
 from mypy_boto3_xray.client import XRayClient
-from mypy_boto3_xray.type_defs import TraceSummaryTypeDef
 from pydantic import BaseModel
 from retry import retry
 
+if TYPE_CHECKING:
+    from mypy_boto3_xray.type_defs import TraceSummaryTypeDef
+
 
 class TraceSubsegment(BaseModel):
-    id: str  # noqa: A003 VNE003  # id is a field we can't change
+    id: str  # noqa: A003 # id is a field we can't change
     name: str
     start_time: float
     end_time: float
@@ -22,7 +24,7 @@ class TraceSubsegment(BaseModel):
 
 
 class TraceDocument(BaseModel):
-    id: str  # noqa: A003 VNE003  # id is a field we can't change
+    id: str  # noqa: A003 # id is a field we can't change
     name: str
     start_time: float
     end_time: float

tests/functional/batch/required_dependencies/test_utilities_batch.py

@@ -18,9 +18,6 @@
     process_partial_response,
 )
 from aws_lambda_powertools.utilities.batch.exceptions import BatchProcessingError, UnexpectedBatchTypeError
-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,
 )
@@ -31,6 +28,10 @@
 if TYPE_CHECKING:
     from collections.abc import Awaitable, Callable
 
+    from aws_lambda_powertools.utilities.data_classes.dynamo_db_stream_event import (
+        DynamoDBRecord,
+    )
+
 
 @pytest.fixture(scope="module")
 def sqs_event_fifo_factory() -> Callable:

tests/functional/event_handler/_pydantic/test_openapi_with_pep563.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from pydantic import BaseModel, Field
-from typing_extensions import Annotated
+from typing_extensions import Annotated  # noqa: TC002
 
 from aws_lambda_powertools.event_handler.api_gateway import APIGatewayRestResolver
 from aws_lambda_powertools.event_handler.openapi.models import (

tests/functional/feature_flags/_boto3/test_time_based_actions.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import datetime
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 from botocore.config import Config
 from dateutil.tz import gettz
@@ -20,7 +20,9 @@
     TimeKeys,
     TimeValues,
 )
-from aws_lambda_powertools.utilities.feature_flags.types import JSONType
+
+if TYPE_CHECKING:
+    from aws_lambda_powertools.utilities.feature_flags.types import JSONType
 
 
 def evaluate_mocked_schema(

tests/functional/logger/required_dependencies/test_logger.py

@@ -11,9 +11,8 @@
 import string
 import sys
 from collections import namedtuple
-from collections.abc import Callable, Iterable
 from datetime import datetime, timezone
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 import pytest
 
@@ -27,6 +26,9 @@
 from aws_lambda_powertools.shared import constants
 from aws_lambda_powertools.utilities.data_classes import S3Event, event_source
 
+if TYPE_CHECKING:
+    from collections.abc import Callable, Iterable
+
 
 @pytest.fixture
 def stdout():

tests/functional/metrics/required_dependencies/test_metrics_cloudwatch_emf.py

@@ -4,7 +4,7 @@
 import json
 import warnings
 from collections import namedtuple
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 import pytest
 
@@ -25,9 +25,11 @@
 from aws_lambda_powertools.metrics.provider.cloudwatch_emf.constants import (
     MAX_DIMENSIONS,
 )
-from aws_lambda_powertools.metrics.provider.cloudwatch_emf.types import (
-    CloudWatchEMFOutput,
-)
+
+if TYPE_CHECKING:
+    from aws_lambda_powertools.metrics.provider.cloudwatch_emf.types import (
+        CloudWatchEMFOutput,
+    )
 
 
 def serialize_metrics(

tests/functional/metrics/required_dependencies/test_metrics_provider.py

@@ -1,14 +1,16 @@
 from __future__ import annotations
 
 import json
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 from aws_lambda_powertools.metrics import (
     SchemaValidationError,
 )
 from aws_lambda_powertools.metrics.metrics import Metrics
 from aws_lambda_powertools.metrics.provider import BaseProvider
-from aws_lambda_powertools.utilities.typing import LambdaContext
+
+if TYPE_CHECKING:
+    from aws_lambda_powertools.utilities.typing import LambdaContext
 
 
 def capture_metrics_output(capsys):

tests/unit/data_classes/_boto3/test_code_pipeline_job_event.py

@@ -3,17 +3,20 @@
 import json
 import zipfile
 from io import StringIO
+from typing import TYPE_CHECKING
 
 import pytest
 from botocore.response import StreamingBody
-from pytest_mock import MockerFixture
 
 from aws_lambda_powertools.utilities.data_classes import CodePipelineJobEvent
 from aws_lambda_powertools.utilities.data_classes.code_pipeline_job_event import (
     CodePipelineData,
 )
 from tests.functional.utils import load_event
 
+if TYPE_CHECKING:
+    from pytest_mock import MockerFixture
+
 
 def test_code_pipeline_event():
     raw_event = load_event("codePipelineEvent.json")

tests/unit/data_classes/required_dependencies/test_sqs_event.py

@@ -1,12 +1,15 @@
 from __future__ import annotations
 
 import json
+from typing import TYPE_CHECKING
 
 from aws_lambda_powertools.utilities.data_classes import S3Event, SQSEvent
-from aws_lambda_powertools.utilities.data_classes.sns_event import SNSMessage
 from aws_lambda_powertools.utilities.data_classes.sqs_event import SQSMessageAttributes
 from tests.functional.utils import load_event
 
+if TYPE_CHECKING:
+    from aws_lambda_powertools.utilities.data_classes.sns_event import SNSMessage
+
 
 def test_seq_trigger_event():
     raw_event = load_event("sqsEvent.json")

tests/unit/test_tracing.py

@@ -1,14 +1,16 @@
 from __future__ import annotations
 
 import contextlib
-from typing import NamedTuple
+from typing import TYPE_CHECKING, NamedTuple
 from unittest import mock
-from unittest.mock import MagicMock
 
 import pytest
 
 from aws_lambda_powertools import Tracer
 
+if TYPE_CHECKING:
+    from unittest.mock import MagicMock
+
 # Maintenance: This should move to Functional tests and use Fake over mocks.
 
 MODULE_PREFIX = "tests.unit.test_tracing"