chore: skip coverage on false positives

aws_lambda_powertools/event_handler/api_gateway.py

@@ -1646,13 +1646,13 @@ def _determine_openapi_version(openapi_version):
         from aws_lambda_powertools.event_handler.openapi.pydantic_loader import PYDANTIC_V2
 
         # Pydantic V2 has no support for OpenAPI schema 3.0
-        if PYDANTIC_V2 and not openapi_version.startswith("3.1"):
+        if PYDANTIC_V2 and not openapi_version.startswith("3.1"):  # pragma: no cover
             warnings.warn(
                 "You are using Pydantic v2, which is incompatible with OpenAPI schema 3.0. Forcing OpenAPI 3.1",
                 stacklevel=2,
             )
             openapi_version = "3.1.0"
-        elif not PYDANTIC_V2 and not openapi_version.startswith("3.0"):
+        elif not PYDANTIC_V2 and not openapi_version.startswith("3.0"):  # pragma: no cover
             warnings.warn(
                 "You are using Pydantic v1, which is incompatible with OpenAPI schema 3.1. Forcing OpenAPI 3.0",
                 stacklevel=2,
@@ -2192,7 +2192,7 @@ def not_found(self, func: Optional[Callable] = None):
 
     def exception_handler(self, exc_class: Union[Type[Exception], List[Type[Exception]]]):
         def register_exception_handler(func: Callable):
-            if isinstance(exc_class, list):
+            if isinstance(exc_class, list):  # pragma: no cover
                 for exp in exc_class:
                     self._exception_handlers[exp] = func
             else:

aws_lambda_powertools/event_handler/openapi/compat.py

@@ -40,7 +40,7 @@
 
 RequestErrorModel: Type[BaseModel] = create_model("Request")
 
-if PYDANTIC_V2:
+if PYDANTIC_V2:  # pragma: no cover # false positive; dropping in v3
     from pydantic import TypeAdapter, ValidationError
     from pydantic._internal._typing_extra import eval_type_lenient
     from pydantic.fields import FieldInfo

aws_lambda_powertools/event_handler/openapi/pydantic_loader.py

@@ -3,4 +3,4 @@
 
     PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")
 except ImportError:
-    PYDANTIC_V2 = False
+    PYDANTIC_V2 = False  # pragma: no cover  # false positive; dropping in v3

aws_lambda_powertools/utilities/batch/types.py

@@ -7,7 +7,7 @@
 
 # For IntelliSense and Mypy to work, we need to account for possible SQS subclasses
 # We need them as subclasses as we must access their message ID or sequence number metadata via dot notation
-if has_pydantic:
+if has_pydantic:  # pragma: no cover
     from aws_lambda_powertools.utilities.parser.models import DynamoDBStreamRecordModel, SqsRecordModel
     from aws_lambda_powertools.utilities.parser.models import (
         KinesisDataStreamRecord as KinesisDataStreamRecordModel,
@@ -17,7 +17,7 @@
         Union[Type[SqsRecordModel], Type[DynamoDBStreamRecordModel], Type[KinesisDataStreamRecordModel]]
     ]
     BatchSqsTypeModel = Optional[Type[SqsRecordModel]]
-else:
+else:  # pragma: no cover
     BatchTypeModels = "BatchTypeModels"  # type: ignore
     BatchSqsTypeModel = "BatchSqsTypeModel"  # type: ignore
 

aws_lambda_powertools/utilities/parser/compat.py

@@ -22,13 +22,13 @@ def disable_pydantic_v2_warning():
 
         version = __version__.split(".")
 
-        if int(version[0]) == 2:
+        if int(version[0]) == 2:  # pragma: no cover  # dropping in v3
             import warnings
 
             from pydantic import PydanticDeprecatedSince20, PydanticDeprecationWarning
 
             warnings.filterwarnings("ignore", category=PydanticDeprecationWarning)
             warnings.filterwarnings("ignore", category=PydanticDeprecatedSince20)
 
-    except ImportError:
+    except ImportError:  # pragma: no cover # false positive; dropping in v3
         pass

pyproject.toml

@@ -129,6 +129,7 @@ omit = [
   "aws_lambda_powertools/exceptions/*",
   "aws_lambda_powertools/utilities/parser/types.py",
   "aws_lambda_powertools/utilities/jmespath_utils/envelopes.py",
+  "aws_lambda_powertools/metrics/metric.py"  # barrel import (export-only)
 ]
 branch = true