Re-enable rule B208

Author: rambleraptor

pyiceberg/avro/decoder.py

@@ -181,6 +181,6 @@ def new_decoder(b: bytes) -> BinaryDecoder:
     except ModuleNotFoundError:
         import warnings
 
-        warnings.warn("Falling back to pure Python Avro decoder, missing Cython implementation")
+        warnings.warn("Falling back to pure Python Avro decoder, missing Cython implementation", stacklevel=2)
 
         return StreamingBinaryDecoder(b)

pyiceberg/io/__init__.py

@@ -340,7 +340,7 @@ def _infer_file_io_from_scheme(path: str, properties: Properties) -> FileIO | No
                 if file_io := _import_file_io(file_io_path, properties):
                     return file_io
         else:
-            warnings.warn(f"No preferred file implementation for scheme: {parsed_url.scheme}")
+            warnings.warn(f"No preferred file implementation for scheme: {parsed_url.scheme}", stacklevel=2)
     return None
 
 

pyiceberg/io/pyarrow.py

@@ -232,7 +232,7 @@ def _import_retry_strategy(impl: str) -> S3RetryStrategy | None:
         class_ = getattr(module, class_name)
         return class_()
     except (ModuleNotFoundError, AttributeError):
-        warnings.warn(f"Could not initialize S3 retry strategy: {impl}")
+        warnings.warn(f"Could not initialize S3 retry strategy: {impl}", stacklevel=2)
         return None
 
 
@@ -2768,7 +2768,7 @@ def _get_parquet_writer_kwargs(table_properties: Properties) -> Dict[str, Any]:
         f"{TableProperties.PARQUET_BLOOM_FILTER_COLUMN_ENABLED_PREFIX}.*",
     ]:
         if unsupported_keys := fnmatch.filter(table_properties, key_pattern):
-            warnings.warn(f"Parquet writer option(s) {unsupported_keys} not implemented")
+            warnings.warn(f"Parquet writer option(s) {unsupported_keys} not implemented", stacklevel=2)
 
     compression_codec = table_properties.get(TableProperties.PARQUET_COMPRESSION, TableProperties.PARQUET_COMPRESSION_DEFAULT)
     compression_level = property_as_int(

pyiceberg/table/__init__.py

@@ -663,7 +663,7 @@ def delete(
             self.table_metadata.properties.get(TableProperties.DELETE_MODE, TableProperties.DELETE_MODE_DEFAULT)
             == TableProperties.DELETE_MODE_MERGE_ON_READ
         ):
-            warnings.warn("Merge on read is not yet supported, falling back to copy-on-write")
+            warnings.warn("Merge on read is not yet supported, falling back to copy-on-write", stacklevel=2)
 
         if isinstance(delete_filter, str):
             delete_filter = _parse_row_filter(delete_filter)
@@ -731,7 +731,7 @@ def delete(
                             overwrite_snapshot.append_data_file(replaced_data_file)
 
         if not delete_snapshot.files_affected and not delete_snapshot.rewrites_needed:
-            warnings.warn("Delete operation did not match any records")
+            warnings.warn("Delete operation did not match any records", stacklevel=2)
 
     def upsert(
         self,
@@ -1502,7 +1502,7 @@ def _do_commit(self, updates: Tuple[TableUpdate, ...], requirements: Tuple[Table
         try:
             self.catalog._delete_old_metadata(self.io, self.metadata, response.metadata)
         except Exception as e:
-            warnings.warn(f"Failed to delete old metadata after commit: {e}")
+            warnings.warn(f"Failed to delete old metadata after commit: {e}", stacklevel=2)
 
         self.metadata = response.metadata
         self.metadata_location = response.metadata_location
@@ -1728,7 +1728,7 @@ def projection(self) -> Schema:
                             schema for schema in self.table_metadata.schemas if schema.schema_id == snapshot.schema_id
                         )
                     except StopIteration:
-                        warnings.warn(f"Metadata does not contain schema with id: {snapshot.schema_id}")
+                        warnings.warn(f"Metadata does not contain schema with id: {snapshot.schema_id}", stacklevel=2)
             else:
                 raise ValueError(f"Snapshot not found: {self.snapshot_id}")
 

pyiceberg/table/snapshots.py

@@ -187,7 +187,7 @@ class Summary(IcebergBaseModel, Mapping[str, str]):
 
     def __init__(self, operation: Operation | None = None, **data: Any) -> None:
         if operation is None:
-            warnings.warn("Encountered invalid snapshot summary: operation is missing, defaulting to overwrite")
+            warnings.warn("Encountered invalid snapshot summary: operation is missing, defaulting to overwrite", stacklevel=2)
             operation = Operation.OVERWRITE
         super().__init__(operation=operation, **data)
         self._additional_properties = data

ruff.toml

@@ -60,7 +60,6 @@ select = [
 ignore = [
     "E501",
     "B024",
-    "B028",
     "UP037",
     "UP035",
     "UP006"

tests/io/test_pyarrow.py

@@ -2804,7 +2804,7 @@ def test_pyarrow_io_multi_fs() -> None:
 class SomeRetryStrategy(AwsDefaultS3RetryStrategy):
     def __init__(self) -> None:
         super().__init__()
-        warnings.warn("Initialized SomeRetryStrategy 👍")
+        warnings.warn("Initialized SomeRetryStrategy 👍", stacklevel=2)
 
 
 def test_retry_strategy() -> None: