diff --git a/.github/workflows/minimal-tests.yml b/.github/workflows/minimal-tests.yml index 3bc545cb5..1c5ae9440 100644 --- a/.github/workflows/minimal-tests.yml +++ b/.github/workflows/minimal-tests.yml @@ -17,7 +17,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: [3.8] + python-version: ["3.8", "3.11", "3.12"] platform: [ubuntu-latest, macos-latest, windows-latest] env: diff --git a/README.md b/README.md index 40d5b344d..0fff3bf30 100644 --- a/README.md +++ b/README.md @@ -101,6 +101,8 @@ AWS SDK for pandas can also run your workflows at scale by leveraging [Modin](ht The quickest way to get started is to use AWS Glue with Ray. Read our [docs](https://aws-sdk-pandas.readthedocs.io/en/3.5.0/scale.html), our blogs ([1](https://aws.amazon.com/blogs/big-data/scale-aws-sdk-for-pandas-workloads-with-aws-glue-for-ray/)/[2](https://aws.amazon.com/blogs/big-data/advanced-patterns-with-aws-sdk-for-pandas-on-aws-glue-for-ray/)), or head to our latest [tutorials](https://github.com/aws/aws-sdk-pandas/tree/main/tutorials) to discover even more features. +> ⚠️ **Ray is currently not available for Python 3.12. While AWS SDK for pandas supports Python 3.12, it cannot be used at scale.** + ## [Read The Docs](https://aws-sdk-pandas.readthedocs.io/) - [**What is AWS SDK for pandas?**](https://aws-sdk-pandas.readthedocs.io/en/3.5.0/about.html) diff --git a/awswrangler/_config.py b/awswrangler/_config.py index 490169c5a..3b292973f 100644 --- a/awswrangler/_config.py +++ b/awswrangler/_config.py @@ -16,7 +16,7 @@ _logger: logging.Logger = logging.getLogger(__name__) -_ConfigValueType = Union[str, bool, int, float, botocore.config.Config, dict] +_ConfigValueType = Union[str, bool, int, float, botocore.config.Config, Dict[Any, Any]] class _ConfigArg(NamedTuple): diff --git a/awswrangler/_databases.py b/awswrangler/_databases.py index 743845b68..fb0877981 100644 --- a/awswrangler/_databases.py +++ b/awswrangler/_databases.py @@ -160,7 +160,7 @@ def _records2df( for col_values, col_name in zip(tuple(zip(*records)), cols_names): # Transposing if (dtype is None) or (col_name not in dtype): if _oracledb_found: - col_values = oracle.handle_oracle_objects(col_values, col_name) # ruff: noqa: PLW2901 + col_values = oracle.handle_oracle_objects(col_values, col_name) # type: ignore[arg-type,assignment] # noqa: PLW2901 try: array: pa.Array = pa.array(obj=col_values, safe=safe) # Creating Arrow array except pa.ArrowInvalid as ex: @@ -169,7 +169,7 @@ def _records2df( try: if _oracledb_found: if _should_handle_oracle_objects(dtype[col_name]): - col_values = oracle.handle_oracle_objects(col_values, col_name, dtype) + col_values = oracle.handle_oracle_objects(col_values, col_name, dtype) # type: ignore[arg-type,assignment] # noqa: PLW2901 array = pa.array(obj=col_values, type=dtype[col_name], safe=safe) # Creating Arrow array with dtype except (pa.ArrowInvalid, pa.ArrowTypeError): array = pa.array(obj=col_values, safe=safe) # Creating Arrow array diff --git a/awswrangler/_utils.py b/awswrangler/_utils.py index 6ee024673..49bc064c7 100644 --- a/awswrangler/_utils.py +++ b/awswrangler/_utils.py @@ -165,7 +165,7 @@ def decorator(func: FunctionType) -> FunctionType: @wraps(func) def inner(*args: Any, **kwargs: Any) -> Any: - passed_unsupported_kwargs = set(unsupported_kwargs).intersection( # type: ignore + passed_unsupported_kwargs = set(unsupported_kwargs).intersection( set([key for key, value in kwargs.items() if value is not None]) ) @@ -620,7 +620,7 @@ def ensure_cpu_count(use_threads: Union[bool, int] = True) -> int: 1 """ - if type(use_threads) == int: # pylint: disable=unidiomatic-typecheck + if type(use_threads) == int: # pylint: disable=unidiomatic-typecheck # noqa: E721 if use_threads < 1: return 1 return use_threads @@ -736,7 +736,7 @@ def get_credentials_from_session( ) -> botocore.credentials.ReadOnlyCredentials: """Get AWS credentials from boto3 session.""" session: boto3.Session = ensure_session(session=boto3_session) - credentials: botocore.credentials.Credentials = session.get_credentials() + credentials: botocore.credentials.Credentials = session.get_credentials() # type: ignore[assignment] frozen_credentials: botocore.credentials.ReadOnlyCredentials = credentials.get_frozen_credentials() return frozen_credentials diff --git a/awswrangler/athena/_cache.py b/awswrangler/athena/_cache.py index 3423b02b6..f33bf757d 100644 --- a/awswrangler/athena/_cache.py +++ b/awswrangler/athena/_cache.py @@ -50,7 +50,7 @@ def update_cache(self, items: List[Dict[str, Any]]) -> None: if oldest_item: items = list( filter( - lambda x: x["Status"]["SubmissionDateTime"] > oldest_item["Status"]["SubmissionDateTime"], # type: ignore[arg-type] + lambda x: x["Status"]["SubmissionDateTime"] > oldest_item["Status"]["SubmissionDateTime"], items, ) ) diff --git a/awswrangler/athena/_read.py b/awswrangler/athena/_read.py index c01aefc6b..42f066dde 100644 --- a/awswrangler/athena/_read.py +++ b/awswrangler/athena/_read.py @@ -74,7 +74,7 @@ def _add_query_metadata_generator( ) -> Iterator[pd.DataFrame]: """Add Query Execution metadata to every DF in iterator.""" for df in dfs: - df = _apply_query_metadata(df=df, query_metadata=query_metadata) # ruff: noqa: PLW2901 + df = _apply_query_metadata(df=df, query_metadata=query_metadata) # noqa: PLW2901 yield df diff --git a/awswrangler/athena/_utils.py b/awswrangler/athena/_utils.py index 48e57bf9f..dc31e3d51 100644 --- a/awswrangler/athena/_utils.py +++ b/awswrangler/athena/_utils.py @@ -197,7 +197,7 @@ def _parse_describe_table(df: pd.DataFrame) -> pd.DataFrame: origin_df_dict = df.to_dict() target_df_dict: Dict[str, List[Union[str, bool]]] = {"Column Name": [], "Type": [], "Partition": [], "Comment": []} for index, col_name in origin_df_dict["col_name"].items(): - col_name = col_name.strip() # ruff: noqa: PLW2901 + col_name = col_name.strip() # noqa: PLW2901 if col_name.startswith("#") or not col_name: pass elif col_name in target_df_dict["Column Name"]: diff --git a/awswrangler/cleanrooms/_utils.py b/awswrangler/cleanrooms/_utils.py index 7e66f843f..287e260a5 100644 --- a/awswrangler/cleanrooms/_utils.py +++ b/awswrangler/cleanrooms/_utils.py @@ -29,6 +29,7 @@ def wait_query( Protected query execution ID boto3_session : boto3.Session, optional Boto3 Session. If None, the default boto3 session is used + Returns ------- Dict[str, Any] diff --git a/awswrangler/data_api/rds.py b/awswrangler/data_api/rds.py index e584da150..103798769 100644 --- a/awswrangler/data_api/rds.py +++ b/awswrangler/data_api/rds.py @@ -165,7 +165,7 @@ def _execute_statement( def function(sql: str) -> "ExecuteStatementResponseTypeDef": return self.client.execute_statement( resourceArn=self.resource_arn, - database=database, # type: ignore[arg-type] + database=database, sql=sql, secretArn=self.secret_arn, includeResultMetadata=True, @@ -196,7 +196,7 @@ def _batch_execute_statement( def function(sql: str) -> "BatchExecuteStatementResponseTypeDef": return self.client.batch_execute_statement( resourceArn=self.resource_arn, - database=database, # type: ignore[arg-type] + database=database, sql=sql, secretArn=self.secret_arn, **additional_kwargs, @@ -363,7 +363,7 @@ def _generate_parameters(columns: List[str], values: List[Any]) -> List[Dict[str parameter_list = [] for col, value in zip(columns, values): - value, type_hint = _create_value_dict(value) # ruff: noqa: PLW2901 + value, type_hint = _create_value_dict(value) # noqa: PLW2901 parameter = { "name": col, diff --git a/awswrangler/distributed/ray/_utils.py b/awswrangler/distributed/ray/_utils.py index e78dc55a3..21b0b113b 100644 --- a/awswrangler/distributed/ray/_utils.py +++ b/awswrangler/distributed/ray/_utils.py @@ -53,7 +53,7 @@ def _estimate_available_parallelism() -> int: def ensure_worker_count(use_threads: Union[bool, int] = True) -> int: - if type(use_threads) == int: # pylint: disable=unidiomatic-typecheck + if type(use_threads) == int: # pylint: disable=unidiomatic-typecheck # noqa: E721 if use_threads < 1: return 1 return use_threads diff --git a/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py b/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py index 802842274..8e1b58533 100644 --- a/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py +++ b/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py @@ -119,7 +119,7 @@ def _get_file_suffix(self, file_format: str, compression: Optional[str]) -> str: # raw pyarrow file fragment causes S3 network calls. class _SerializedPiece: def __init__(self, frag: ParquetFileFragment): - self._data = cloudpickle.dumps( # type: ignore[attr-defined] + self._data = cloudpickle.dumps( # type: ignore[attr-defined,no-untyped-call] (frag.format, frag.path, frag.filesystem, frag.partition_expression) ) diff --git a/awswrangler/distributed/ray/modin/_core.py b/awswrangler/distributed/ray/modin/_core.py index 4f20adada..c88aa7cb4 100644 --- a/awswrangler/distributed/ray/modin/_core.py +++ b/awswrangler/distributed/ray/modin/_core.py @@ -27,7 +27,7 @@ def _validate_partition_shape(df: pd.DataFrame) -> bool: """ # Unwrap partitions as they are currently stored (axis=None) partitions_shape = np.array(unwrap_partitions(df)).shape - return partitions_shape[1] == 1 + return partitions_shape[1] == 1 # type: ignore[no-any-return,unused-ignore] FunctionType = TypeVar("FunctionType", bound=Callable[..., Any]) diff --git a/awswrangler/dynamodb/_utils.py b/awswrangler/dynamodb/_utils.py index e0739def7..912e6b850 100644 --- a/awswrangler/dynamodb/_utils.py +++ b/awswrangler/dynamodb/_utils.py @@ -19,7 +19,7 @@ from mypy_boto3_dynamodb.type_defs import ( AttributeValueTypeDef, ExecuteStatementOutputTypeDef, - KeySchemaElementTableTypeDef, + KeySchemaElementTypeDef, WriteRequestTypeDef, ) @@ -180,7 +180,7 @@ def execute_statement( def _validate_items( - items: Union[List[Dict[str, Any]], List[Mapping[str, Any]]], key_schema: List["KeySchemaElementTableTypeDef"] + items: Union[List[Dict[str, Any]], List[Mapping[str, Any]]], key_schema: List["KeySchemaElementTypeDef"] ) -> None: """ Validate if all items have the required keys for the Amazon DynamoDB table. diff --git a/awswrangler/dynamodb/_write.py b/awswrangler/dynamodb/_write.py index a1423cae3..9129ac8e4 100644 --- a/awswrangler/dynamodb/_write.py +++ b/awswrangler/dynamodb/_write.py @@ -20,7 +20,7 @@ if TYPE_CHECKING: from mypy_boto3_dynamodb.client import DynamoDBClient - from mypy_boto3_dynamodb.type_defs import KeySchemaElementTableTypeDef + from mypy_boto3_dynamodb.type_defs import KeySchemaElementTypeDef _logger: logging.Logger = logging.getLogger(__name__) @@ -139,7 +139,7 @@ def _put_df( dynamodb_client: Optional["DynamoDBClient"], df: pd.DataFrame, table_name: str, - key_schema: List["KeySchemaElementTableTypeDef"], + key_schema: List["KeySchemaElementTypeDef"], ) -> None: items: List[Mapping[str, Any]] = [v.dropna().to_dict() for _, v in df.iterrows()] @@ -214,7 +214,7 @@ def _put_items( dynamodb_client: Optional["DynamoDBClient"], items: Union[List[Dict[str, Any]], List[Mapping[str, Any]]], table_name: str, - key_schema: List["KeySchemaElementTableTypeDef"], + key_schema: List["KeySchemaElementTypeDef"], ) -> None: _logger.debug("Inserting %d items", len(items)) _validate_items(items=items, key_schema=key_schema) diff --git a/awswrangler/emr.py b/awswrangler/emr.py index 2c81674c5..2d061eba9 100644 --- a/awswrangler/emr.py +++ b/awswrangler/emr.py @@ -663,6 +663,7 @@ def create_cluster( # pylint: disable=too-many-arguments,too-many-locals,unused By default, adds log4j config as follows: `{"Classification": "spark-log4j", "Properties": {"log4j.rootCategory": f"{pars['spark_log_level']}, console"}}` + Returns ------- str diff --git a/awswrangler/neptune/_client.py b/awswrangler/neptune/_client.py index 0767b6ffd..b01f75ac5 100644 --- a/awswrangler/neptune/_client.py +++ b/awswrangler/neptune/_client.py @@ -8,6 +8,7 @@ import boto3 from botocore.auth import SigV4Auth from botocore.awsrequest import AWSPreparedRequest, AWSRequest +from botocore.credentials import Credentials from typing_extensions import Literal, NotRequired import awswrangler.neptune._gremlin_init as gremlin @@ -126,7 +127,7 @@ def _get_aws_request( ) -> Union[AWSRequest, AWSPreparedRequest]: req = AWSRequest(method=method, url=url, data=data, params=params, headers=headers) if self.iam_enabled: - credentials = self.boto3_session.get_credentials() + credentials: Credentials = self.boto3_session.get_credentials() # type: ignore[assignment] try: frozen_creds = credentials.get_frozen_credentials() except AttributeError: diff --git a/awswrangler/neptune/_gremlin_parser.py b/awswrangler/neptune/_gremlin_parser.py index 8716ac65d..757dd59d7 100644 --- a/awswrangler/neptune/_gremlin_parser.py +++ b/awswrangler/neptune/_gremlin_parser.py @@ -68,7 +68,7 @@ def _parse_dict(data: Any) -> Any: for k, v in data.items(): # If the key is a Vertex or an Edge do special processing if isinstance(k, (gremlin.Vertex, gremlin.Edge)): - k = k.id # ruff: noqa: PLW2901 + k = k.id # noqa: PLW2901 # If the value is a list do special processing to make it a scalar if the list is of length 1 if isinstance(v, list) and len(v) == 1: diff --git a/awswrangler/oracle.py b/awswrangler/oracle.py index 414b16e3f..308271886 100644 --- a/awswrangler/oracle.py +++ b/awswrangler/oracle.py @@ -603,7 +603,7 @@ def to_sql( df=df, column_placeholders=column_placeholders, chunksize=chunksize ) for _, parameters in placeholder_parameter_pair_generator: - parameters = list(zip(*[iter(parameters)] * len(df.columns))) # ruff: noqa: PLW2901 + parameters = list(zip(*[iter(parameters)] * len(df.columns))) # noqa: PLW2901 _logger.debug("sql: %s", sql) cursor.executemany(sql, parameters) diff --git a/awswrangler/s3/_copy.py b/awswrangler/s3/_copy.py index 2c86cccbe..3616c1088 100644 --- a/awswrangler/s3/_copy.py +++ b/awswrangler/s3/_copy.py @@ -39,7 +39,7 @@ def _copy_objects( CopySource=copy_source, Bucket=target_bucket, Key=target_key, - ExtraArgs=s3_additional_kwargs, # type: ignore[arg-type] + ExtraArgs=s3_additional_kwargs, Config=TransferConfig(num_download_attempts=10, use_threads=use_threads), # type: ignore[arg-type] ) diff --git a/awswrangler/s3/_read.py b/awswrangler/s3/_read.py index ead5cdea4..0b5e0d65b 100644 --- a/awswrangler/s3/_read.py +++ b/awswrangler/s3/_read.py @@ -325,7 +325,7 @@ def _ensure_locations_are_valid(paths: Iterable[str]) -> Iterator[str]: # If the suffix looks like a partition, if suffix and (suffix.count("=") == 1): # the path should end in a '/' character. - path = f"{path}/" # ruff: noqa: PLW2901 + path = f"{path}/" # noqa: PLW2901 yield path diff --git a/awswrangler/s3/_select.py b/awswrangler/s3/_select.py index bc317bbe8..b7605f2d2 100644 --- a/awswrangler/s3/_select.py +++ b/awswrangler/s3/_select.py @@ -56,8 +56,8 @@ def _select_object_content( for event in response["Payload"]: if "Records" in event: records = ( - event["Records"]["Payload"] # type: ignore[index] - .decode( # type: ignore[attr-defined] + event["Records"]["Payload"] + .decode( encoding="utf-8", errors="ignore", ) diff --git a/awswrangler/s3/_write_dataset.py b/awswrangler/s3/_write_dataset.py index 83fca9f10..2de18d901 100644 --- a/awswrangler/s3/_write_dataset.py +++ b/awswrangler/s3/_write_dataset.py @@ -149,14 +149,16 @@ def _to_partitions( s3_client = client(service_name="s3", session=boto3_session) for keys, subgroup in df.groupby(by=partition_cols, observed=True): # Keys are either a primitive type or a tuple if partitioning by multiple cols - keys = (keys,) if not isinstance(keys, tuple) else keys # ruff: noqa: PLW2901 + keys = (keys,) if not isinstance(keys, tuple) else keys # noqa: PLW2901 # Drop partition columns from df subgroup.drop( columns=[col for col in partition_cols if col in subgroup.columns], inplace=True, - ) # ruff: noqa: PLW2901 + ) # noqa: PLW2901 # Drop index levels if partitioning by index columns - subgroup = subgroup.droplevel(level=[col for col in partition_cols if col in subgroup.index.names]) + subgroup = subgroup.droplevel( # noqa: PLW2901 + level=[col for col in partition_cols if col in subgroup.index.names] + ) prefix = _delete_objects( keys=keys, path_root=path_root, diff --git a/building/build-lambda-layers.sh b/building/build-lambda-layers.sh index ab1cad8f5..b02e6c065 100755 --- a/building/build-lambda-layers.sh +++ b/building/build-lambda-layers.sh @@ -4,44 +4,74 @@ set -ex VERSION=$(poetry version --short) DIR_NAME=$(dirname "$PWD") +PYTHON_VERSION=${1:-ALL} + ARCH=$(arch) [ "${ARCH}" = "aarch64" ] && ARCH_SUFFIX="-arm64" # AWS Lambda, the name arm64 is used instead of aarch64 -echo "Building Lambda Layers for AWS SDK for pandas ${VERSION}" +if [[ $PYTHON_VERSION == "ALL" ]] +then + echo "Building Lambda Layers for AWS SDK for pandas ${VERSION} (ALL supported Python versions)" +else + echo "Building Lambda Layers for AWS SDK for pandas ${VERSION} (ONLY Python $PYTHON_VERSION)" +fi pushd lambda # Building all related docker images -./build-docker-images.sh +./build-docker-images.sh $PYTHON_VERSION # Python 3.8 -docker run \ - --volume "$DIR_NAME":/aws-sdk-pandas/ \ - --workdir /aws-sdk-pandas/building/lambda \ - --rm \ - awswrangler-build-py38 \ - build-lambda-layer.sh "${VERSION}-py3.8${ARCH_SUFFIX}" "ninja-build" +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.8" ]] +then + docker run \ + --volume "$DIR_NAME":/aws-sdk-pandas/ \ + --workdir /aws-sdk-pandas/building/lambda \ + --rm \ + awswrangler-build-py38 \ + build-lambda-layer.sh "${VERSION}-py3.8${ARCH_SUFFIX}" "ninja-build" +fi # Python 3.9 -docker run \ - --volume "$DIR_NAME":/aws-sdk-pandas/ \ - --workdir /aws-sdk-pandas/building/lambda \ - --rm \ - awswrangler-build-py39 \ - build-lambda-layer.sh "${VERSION}-py3.9${ARCH_SUFFIX}" "ninja-build" +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.9" ]] +then + docker run \ + --volume "$DIR_NAME":/aws-sdk-pandas/ \ + --workdir /aws-sdk-pandas/building/lambda \ + --rm \ + awswrangler-build-py39 \ + build-lambda-layer.sh "${VERSION}-py3.9${ARCH_SUFFIX}" "ninja-build" +fi # Python 3.10 -docker run \ - --volume "$DIR_NAME":/aws-sdk-pandas/ \ - --workdir /aws-sdk-pandas/building/lambda \ - --rm \ - awswrangler-build-py310 \ - build-lambda-layer.sh "${VERSION}-py3.10${ARCH_SUFFIX}" "ninja-build" +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.10" ]] +then + docker run \ + --volume "$DIR_NAME":/aws-sdk-pandas/ \ + --workdir /aws-sdk-pandas/building/lambda \ + --rm \ + awswrangler-build-py310 \ + build-lambda-layer.sh "${VERSION}-py3.10${ARCH_SUFFIX}" "ninja-build" +fi # Python 3.11 -docker run \ - --volume "$DIR_NAME":/aws-sdk-pandas/ \ - --workdir /aws-sdk-pandas/building/lambda \ - --rm \ - awswrangler-build-py311 \ - build-lambda-layer.sh "${VERSION}-py3.11${ARCH_SUFFIX}" "ninja-build" +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.11" ]] +then + docker run \ + --volume "$DIR_NAME":/aws-sdk-pandas/ \ + --workdir /aws-sdk-pandas/building/lambda \ + --rm \ + awswrangler-build-py311 \ + build-lambda-layer.sh "${VERSION}-py3.11${ARCH_SUFFIX}" "ninja-build" +fi + +# Python 3.12 +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.12" ]] +then + docker run \ + --volume "$DIR_NAME":/aws-sdk-pandas/ \ + --workdir /aws-sdk-pandas/building/lambda \ + --rm \ + awswrangler-build-py312 \ + build-lambda-layer.sh "${VERSION}-py3.12${ARCH_SUFFIX}" "ninja-build" +fi diff --git a/building/lambda/Dockerfile b/building/lambda/Dockerfile index 570f00fc4..abb69220e 100644 --- a/building/lambda/Dockerfile +++ b/building/lambda/Dockerfile @@ -26,7 +26,7 @@ COPY pyproject.toml poetry.lock ./ RUN pip3 install --upgrade pip wheel RUN pip3 install --upgrade urllib3==1.26.16 # temporary to avoid https://github.com/urllib3/urllib3/issues/2168 (TODO remove when the AL2 image updates to support OpenSSL 1.1.1+) RUN pip3 install --upgrade six cython cmake hypothesis poetry -RUN poetry config virtualenvs.create false --local && poetry install --no-root --no-dev +RUN poetry config virtualenvs.create false --local && poetry install --no-root --only main RUN rm -f pyproject.toml poetry.lock diff --git a/building/lambda/Dockerfile.al2023 b/building/lambda/Dockerfile.al2023 new file mode 100644 index 000000000..84e44ad84 --- /dev/null +++ b/building/lambda/Dockerfile.al2023 @@ -0,0 +1,32 @@ +ARG base_image +ARG python_version=base + +FROM ${base_image} AS base + +RUN dnf install -y \ + boost-devel \ + jemalloc-devel \ + libxml2-devel \ + libxslt-devel \ + bison \ + make \ + gcc \ + gcc-c++ \ + flex \ + autoconf \ + zip \ + git \ + ninja-build + +WORKDIR /root + +FROM ${python_version} +COPY pyproject.toml poetry.lock ./ + +RUN pip3 install --upgrade pip wheel +RUN pip3 install --upgrade six cython cmake hypothesis poetry +RUN poetry config virtualenvs.create false --local && poetry install --no-root --only main + +RUN rm -f pyproject.toml poetry.lock + +ENTRYPOINT ["/bin/sh"] diff --git a/building/lambda/build-docker-images.sh b/building/lambda/build-docker-images.sh index a848b1f01..50c37f0ab 100755 --- a/building/lambda/build-docker-images.sh +++ b/building/lambda/build-docker-images.sh @@ -6,32 +6,57 @@ cp ../../poetry.lock . export DOCKER_BUILDKIT=1 +PYTHON_VERSION=${1:-ALL} + # Python 3.8 -docker build \ - --pull \ - --tag awswrangler-build-py38 \ - --build-arg base_image=public.ecr.aws/lambda/python:3.8 \ - . +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.8" ]] +then + docker build \ + --pull \ + --tag awswrangler-build-py38 \ + --build-arg base_image=public.ecr.aws/lambda/python:3.8 \ + . +fi # Python 3.9 -docker build \ - --pull \ - --tag awswrangler-build-py39 \ - --build-arg base_image=public.ecr.aws/lambda/python:3.9 \ - . +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.9" ]] +then + docker build \ + --pull \ + --tag awswrangler-build-py39 \ + --build-arg base_image=public.ecr.aws/lambda/python:3.9 \ + . +fi # Python 3.10 -docker build \ - --pull \ - --tag awswrangler-build-py310 \ - --build-arg base_image=public.ecr.aws/lambda/python:3.10 \ - . +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.10" ]] +then + docker build \ + --pull \ + --tag awswrangler-build-py310 \ + --build-arg base_image=public.ecr.aws/lambda/python:3.10 \ + . +fi # Python 3.11 -docker build \ - --pull \ - --tag awswrangler-build-py311 \ - --build-arg base_image=public.ecr.aws/lambda/python:3.11 \ - . +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.11" ]] +then + docker build \ + --pull \ + --tag awswrangler-build-py311 \ + --build-arg base_image=public.ecr.aws/lambda/python:3.11 \ + . +fi + +# Python 3.12 +if [[ $PYTHON_VERSION == "ALL" || $PYTHON_VERSION == "3.12" ]] +then + docker build \ + --pull \ + --tag awswrangler-build-py312 \ + --build-arg base_image=public.ecr.aws/lambda/python:3.12 \ + --file Dockerfile.al2023 \ + . +fi rm -rf pyproject.toml poetry.lock diff --git a/building/lambda/build-lambda-layer.sh b/building/lambda/build-lambda-layer.sh index a9c3bb89b..e5ed0ff61 100755 --- a/building/lambda/build-lambda-layer.sh +++ b/building/lambda/build-lambda-layer.sh @@ -86,6 +86,7 @@ pip3 install . -t ./python ".[redshift,mysql,postgres,gremlin,opensearch,openpyx rm -rf python/pyarrow* rm -rf python/boto* rm -rf python/urllib3* +rm -rf python/s3transfer* cp -r /aws-sdk-pandas/dist/pyarrow_files/pyarrow* python/ diff --git a/docs/source/install.rst b/docs/source/install.rst index 72863a5b1..c20df28f2 100644 --- a/docs/source/install.rst +++ b/docs/source/install.rst @@ -1,7 +1,7 @@ Install ======= -**AWS SDK for pandas** runs on Python ``3.8``, ``3.9``, ``3.10`` and ``3.11``, +**AWS SDK for pandas** runs on Python ``3.8``, ``3.9``, ``3.10``, ``3.11``, and ``3.12`` and on several platforms (AWS Lambda, AWS Glue Python Shell, EMR, EC2, on-premises, Amazon SageMaker, local, etc). diff --git a/poetry.lock b/poetry.lock index cc1e57d27..4ca8f437a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,110 +2,99 @@ [[package]] name = "aenum" -version = "3.1.12" +version = "3.1.15" description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants" optional = true 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wrapper for zip files" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"}, - {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"}, + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [extras] deltalake = ["deltalake"] -geopandas = ["geopandas"] +geopandas = ["geopandas", "geopandas"] gremlin = ["gremlinpython", "requests"] modin = ["modin"] mysql = ["pymysql"] @@ -6311,4 +6316,4 @@ sqlserver = ["pyodbc"] [metadata] lock-version = "2.0" python-versions = ">=3.8, <4.0" -content-hash = "873f6f18ac416321081882fed06bc20b11c5b431f80dc1af80c11b286bcd258a" +content-hash = "c69aaf98bc55b49e9ff0ff47c93df3da9af7012c4527ee1e2d3e4cd829175cef" diff --git a/pyproject.toml b/pyproject.toml index 1440a1c5e..cf9d15905 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,6 +22,7 @@ classifiers = [ "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", ] [tool.poetry.dependencies] @@ -31,16 +32,22 @@ python = ">=3.8, <4.0" boto3 = "^1.20.32" botocore = "^1.23.32" pandas = ">=1.2.0,<3.0.0" -numpy = "^1.18" +numpy = [ + {version = "^1.18", markers = "python_version < \"3.12\""}, + {version = "^1.26", markers = "python_version >= \"3.12\""} +] pyarrow = ">=7.0.0" typing-extensions = "^4.4.0" packaging = ">=21.1,<24.0" +# needed because Py 3.12 removed distutils, which some libraries still need +setuptools = {version = "*", markers = "python_version >= \"3.12\""} + # Databases redshift-connector = { version = "^2.0.0", optional = true } pymysql = { version = "^1.0.0", optional = true } pg8000 = { version = "^1.29.0", optional = true } -pyodbc = { version = "^4.0.0", optional = true } +pyodbc = { version = ">=4,<6", optional = true } oracledb = { version = "^1.0.0", optional = true } # Graph @@ -57,7 +64,10 @@ jsonpath-ng = { version = "^1.5.3", optional = true } openpyxl = { version = "^3.0.0", optional = true } progressbar2 = { version = "^4.0.0", optional = true } deltalake = { version = ">=0.6.4,<0.15.0", optional = true } -geopandas = {version = "^0.13.2", optional = true} +geopandas = [ + { version = "^0.13.2", markers = "python_version < \"3.12\"", optional = true }, + { version = "^0.14.1", markers = "python_version >= \"3.12\"", optional = true } +] # Distributed modin = { version = "^0.23.0", optional = true } @@ -84,14 +94,15 @@ ray = ["ray"] # Build setuptools = "*" wheel = "^0.38.1" +msgpack = "*" # Lint -black = "^23.1.0" +black = "^23.12.0" boto3-stubs = {version = "^1.26.151", extras = ["athena", "cleanrooms", "chime", "cloudwatch", "dynamodb", "ec2", "emr", "emr-serverless", "glue", "kms", "lakeformation", "logs", "neptune", "opensearch", "opensearchserverless", "quicksight", "rds", "rds-data", "redshift", "redshift-data", "s3", "secretsmanager", "ssm", "sts", "timestream-query", "timestream-write"]} doc8 = "^1.0" mypy = "^1.0" pylint = "^2.17" -ruff = "^0.0.270" +ruff = "^0.1.8" isort = "^5.9.2" flake8 = "^5.0.1" pydocstyle = "^6.1.1" @@ -111,7 +122,7 @@ tox = "^4.5.0" # Docs bump2version = "^1.0.1" IPython = "^8.10.0" -jupyterlab = "^3.0" +jupyterlab = "^4.0" nbsphinx = "^0.8.8" nbsphinx-link = "^1.3.0" sphinx = "^6.0" @@ -126,7 +137,7 @@ build-backend = "poetry.core.masonry.api" [tool.black] line-length = 120 -target-version = ["py38", "py39", "py310", "py311"] +target-version = ["py38", "py39", "py310", "py311", "py312"] extend_exclude = ''' /( \.eggs diff --git a/tests/unit/test_athena.py b/tests/unit/test_athena.py index 9fffdf13a..e92aa84c9 100644 --- a/tests/unit/test_athena.py +++ b/tests/unit/test_athena.py @@ -880,11 +880,11 @@ def test_bucketing_catalog_parquet_table(path, glue_database, glue_table): ) def test_bucketing_parquet_dataset(path, glue_database, glue_table, bucketing_data, dtype): # Skip invalid combinations of data and data types - if type(bucketing_data[0]) == int and "int" not in dtype.lower(): + if type(bucketing_data[0]) == int and "int" not in dtype.lower(): # noqa: E721 pytest.skip() - if type(bucketing_data[0]) == bool and "bool" not in dtype.lower(): + if type(bucketing_data[0]) == bool and "bool" not in dtype.lower(): # noqa: E721 pytest.skip() - if type(bucketing_data[0]) == str and (dtype != "string" or dtype != "object"): + if type(bucketing_data[0]) == str and (dtype != "string" or dtype != "object"): # noqa: E721 pytest.skip() nb_of_buckets = 2 @@ -969,11 +969,11 @@ def test_bucketing_catalog_csv_table(path, glue_database, glue_table): ) def test_bucketing_csv_dataset(path, glue_database, glue_table, bucketing_data, dtype): # Skip invalid combinations of data and data types - if type(bucketing_data[0]) == int and "int" not in dtype.lower(): + if type(bucketing_data[0]) == int and "int" not in dtype.lower(): # noqa: E721 pytest.skip() - if type(bucketing_data[0]) == bool and "bool" not in dtype.lower(): + if type(bucketing_data[0]) == bool and "bool" not in dtype.lower(): # noqa: E721 pytest.skip() - if type(bucketing_data[0]) == str and (dtype != "string" or dtype != "object"): + if type(bucketing_data[0]) == str and (dtype != "string" or dtype != "object"): # noqa: E721 pytest.skip() nb_of_buckets = 2 diff --git a/tests/unit/test_neptune.py b/tests/unit/test_neptune.py index 28f2581d6..831dcb92a 100644 --- a/tests/unit/test_neptune.py +++ b/tests/unit/test_neptune.py @@ -130,10 +130,10 @@ def test_gremlin_query_vertices(neptune_endpoint, neptune_port) -> Dict[str, Any wr.neptune.execute_gremlin(client, f"g.addV().property(T.id, '{uuid.uuid4()}')") df = wr.neptune.execute_gremlin(client, "g.V().limit(1)") - assert df.shape == (1, 2) + assert df.shape == (1, 3) df = wr.neptune.execute_gremlin(client, "g.V().limit(2)") - assert df.shape == (2, 2) + assert df.shape == (2, 3) def test_gremlin_query_edges(neptune_endpoint, neptune_port) -> Dict[str, Any]: @@ -141,10 +141,10 @@ def test_gremlin_query_edges(neptune_endpoint, neptune_port) -> Dict[str, Any]: wr.neptune.execute_gremlin(client, "g.addE('bar').from(addV('foo')).to(addV('foo'))") df = wr.neptune.execute_gremlin(client, "g.E().limit(1)") - assert df.shape == (1, 4) + assert df.shape == (1, 5) df = wr.neptune.execute_gremlin(client, "g.E().limit(2)") - assert df.shape == (2, 4) + assert df.shape == (2, 5) def test_gremlin_query_no_results(neptune_endpoint, neptune_port) -> Dict[str, Any]: diff --git a/tests/unit/test_neptune_parsing.py b/tests/unit/test_neptune_parsing.py index 1bd33dcd9..a7ed7494d 100644 --- a/tests/unit/test_neptune_parsing.py +++ b/tests/unit/test_neptune_parsing.py @@ -26,9 +26,10 @@ def test_parse_gremlin_vertex_elements(gremlin_parser): out = gremlin_parser.gremlin_results_to_dict(input) df = pd.DataFrame.from_records(out) row = df.iloc[0] - assert df.shape == (1, 2) + assert df.shape == (1, 3) assert row["id"] == "foo" assert row["label"] == "vertex" + assert row["properties"] is None # parse multiple vertex elements v1 = Vertex("bar") @@ -36,9 +37,10 @@ def test_parse_gremlin_vertex_elements(gremlin_parser): out = gremlin_parser.gremlin_results_to_dict(input) df = pd.DataFrame.from_records(out) row = df.iloc[1] - assert df.shape == (2, 2) + assert df.shape == (2, 3) assert row["id"] == "bar" assert row["label"] == "vertex" + assert row["properties"] is None # parse Edge elements @@ -49,11 +51,12 @@ def test_parse_gremlin_edge_elements(gremlin_parser): out = gremlin_parser.gremlin_results_to_dict(input) df = pd.DataFrame.from_records(out) row = df.iloc[0] - assert df.shape == (1, 4) + assert df.shape == (1, 5) assert row["id"] == "foo" assert row["outV"] == "out1" assert row["label"] == "label" assert row["inV"] == "in1" + assert row["properties"] is None # parse multiple edge elements v1 = Edge("bar", "out1", "label", "in2") @@ -61,11 +64,12 @@ def test_parse_gremlin_edge_elements(gremlin_parser): out = gremlin_parser.gremlin_results_to_dict(input) df = pd.DataFrame.from_records(out) row = df.iloc[1] - assert df.shape == (2, 4) + assert df.shape == (2, 5) assert row["id"] == "bar" assert row["outV"] == "out1" assert row["label"] == "label" assert row["inV"] == "in2" + assert row["properties"] is None # parse Property elements @@ -76,12 +80,13 @@ def test_parse_gremlin_property_elements(gremlin_parser): out = gremlin_parser.gremlin_results_to_dict(input) df = pd.DataFrame.from_records(out) row = df.iloc[0] - assert df.shape == (1, 5) + assert df.shape == (1, 6) assert row["id"] == "foo" assert row["label"] == "name" assert row["value"] == "bar" assert row["key"] == "name" assert row["vertex"] == "v1" + assert row["properties"] is None v = Property("foo", "name", "bar") input = [v] @@ -105,9 +110,9 @@ def test_parse_gremlin_path_elements(gremlin_parser): df = pd.DataFrame.from_records(out) row = df.iloc[0] assert df.shape == (1, 3) - assert row[0] == {"id": "foo", "label": "vertex"} - assert row[1] == {"id": "e1", "label": "label", "outV": "foo", "inV": "bar"} - assert row[2] == {"id": "bar", "label": "vertex"} + assert row[0] == {"id": "foo", "label": "vertex", "properties": None} + assert row[1] == {"id": "e1", "label": "label", "outV": "foo", "inV": "bar", "properties": None} + assert row[2] == {"id": "bar", "label": "vertex", "properties": None} # parse path with multiple elements e2 = Edge("bar", "out1", "label", "in2") @@ -117,9 +122,9 @@ def test_parse_gremlin_path_elements(gremlin_parser): df = pd.DataFrame.from_records(out) row = df.iloc[1] assert df.shape == (2, 3) - assert row[0] == {"id": "bar", "label": "vertex"} - assert row[1] == {"id": "bar", "label": "label", "outV": "out1", "inV": "in2"} - assert row[2] == {"id": "in2", "label": "vertex"} + assert row[0] == {"id": "bar", "label": "vertex", "properties": None} + assert row[1] == {"id": "bar", "label": "label", "outV": "out1", "inV": "in2", "properties": None} + assert row[2] == {"id": "in2", "label": "vertex", "properties": None} # parse path with maps p = Path( @@ -147,7 +152,7 @@ def test_parse_gremlin_path_elements(gremlin_parser): assert df.shape == (1, 3) assert row[0]["name"] == "foo" assert row[0]["age"] == 29 - assert row[1] == {"id": "bar", "label": "label", "outV": "out1", "inV": "in2"} + assert row[1] == {"id": "bar", "label": "label", "outV": "out1", "inV": "in2", "properties": None} assert row[2]["name"] == "bar" assert row[2]["age"] == 40 diff --git a/tox.ini b/tox.ini index fa4ce267d..01b140cf6 100644 --- a/tox.ini +++ b/tox.ini @@ -1,5 +1,5 @@ [tox] -envlist = py{37,38,39,310,311} +envlist = py{37,38,39,310,311,312} isolated_build = True [testenv]