From 74fc064ea2cce440e8bd7ba7549b85242da500b8 Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Tue, 18 Jun 2024 09:35:25 -0500 Subject: [PATCH 1/9] refactor: Remove legacy Numpy code --- pyproject.toml | 2 +- tests/load/test_s3.py | 12 +++++++----- tests/unit/test_athena.py | 4 ++-- 3 files changed, 10 insertions(+), 8 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index d771d2321..fc287e15b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -158,7 +158,7 @@ line-length = 120 target-version = "py38" [tool.ruff.lint] -select = ["D", "E", "F", "I", "PL", "RUF100", "W", "FA", "UP", "PYI036"] +select = ["D", "E", "F", "I", "PL", "RUF100", "W", "FA", "UP", "PYI036", "NPY"] ignore = ["E501", "PLR2004", "UP037"] fixable = ["ALL"] diff --git a/tests/load/test_s3.py b/tests/load/test_s3.py index 9e20c0aab..a2f11fb2b 100644 --- a/tests/load/test_s3.py +++ b/tests/load/test_s3.py @@ -238,14 +238,16 @@ def test_wait_object_not_exists(path: str, benchmark_time: int, request: pytest. @pytest.mark.parametrize("size", [(5000, 5000), (1, 5000), (5000, 1), (1, 1)]) def test_wide_df(size: tuple[int, int], path: str) -> None: - df = pd.DataFrame(np.random.randint(0, 100, size=size)) + rand_gen = np.random.Generator() + + df = pd.DataFrame(rand_gen.integers(0, 100, size=size)) df.columns = df.columns.map(str) num_cols = size[0] - df["int"] = np.random.choice(["1", "2", None], num_cols) - df["decimal"] = np.random.choice(["1.0", "2.0", None], num_cols) - df["date"] = np.random.choice(["2020-01-01", "2020-01-02", None], num_cols) - df["par0"] = np.random.choice(["A", "B"], num_cols) + df["int"] = rand_gen.choice(["1", "2", None], num_cols) + df["decimal"] = rand_gen.choice(["1.0", "2.0", None], num_cols) + df["date"] = rand_gen.choice(["2020-01-01", "2020-01-02", None], num_cols) + df["par0"] = rand_gen.choice(["A", "B"], num_cols) partitions_shape = np.array(unwrap_partitions(df)).shape assert partitions_shape[1] == min(math.ceil(len(df.columns) / cfg.MinPartitionSize.get()), cfg.NPartitions.get()) diff --git a/tests/unit/test_athena.py b/tests/unit/test_athena.py index ba8d458be..097f95d65 100644 --- a/tests/unit/test_athena.py +++ b/tests/unit/test_athena.py @@ -969,8 +969,8 @@ def test_athena_nan_inf(glue_database, ctas_approach, data_source): assert df.shape == (1, 4) assert df.dtypes.to_list() == ["float64", "float64", "float64", "float64"] assert np.isnan(df.nan.iloc[0]) - assert df.inf.iloc[0] == np.PINF - assert df.inf_n.iloc[0] == np.NINF + assert df.inf.iloc[0] == np.inf + assert df.inf_n.iloc[0] == -np.inf assert df.regular.iloc[0] == 1.2 From 441cd3a4e77545a6e96896ab937e6e21d44ef47b Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Tue, 18 Jun 2024 09:46:46 -0500 Subject: [PATCH 2/9] upgrade numpy to 2.0 --- poetry.lock | 2210 +++++++++++++++++++++++++----------------------- pyproject.toml | 4 +- 2 files changed, 1147 insertions(+), 1067 deletions(-) diff --git a/poetry.lock b/poetry.lock index 7faae68cc..1876d7f59 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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(>=0.2.1)"] [extras] deltalake = ["deltalake"] @@ -7028,4 +7108,4 @@ sqlserver = ["pyodbc"] [metadata] lock-version = "2.0" python-versions = ">=3.8, <4.0" -content-hash = "958644d69acfebad86cdf032d921b0b9f0777f6e4b3c8e2e836f0442be0c2b5e" +content-hash = "32064ceda833625501fc9ff9ed1f86b8a629bac5d2fd8c8f557f04ce1c12122b" diff --git a/pyproject.toml b/pyproject.toml index d771d2321..58cf641a1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,8 +36,8 @@ pandas = [ { version = ">=1.2.0,<3.0.0", markers = "python_version >= \"3.9\"" }, ] numpy = [ - {version = "^1.18", markers = "python_version < \"3.12\""}, - {version = "^1.26", markers = "python_version >= \"3.12\""} + {version = ">=1.18,<2.0", markers = "python_version < \"3.9\""}, + {version = ">=1.26,<3.0", markers = "python_version >= \"3.9\""} ] pyarrow = ">=8.0.0" typing-extensions = "^4.4.0" From ef22ebac1dbc23c1e8ac37b9c32c455fca14df7a Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Tue, 18 Jun 2024 09:59:10 -0500 Subject: [PATCH 3/9] fix modin version --- poetry.lock | 117 ++++++++++++++++++++++++++----------------------- pyproject.toml | 6 +-- 2 files changed, 64 insertions(+), 59 deletions(-) diff --git a/poetry.lock b/poetry.lock index 1876d7f59..c30d9e1ab 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3124,27 +3124,27 @@ unidist = ["unidist[mpi] (>=0.2.1,<=0.4.1)"] [[package]] name = "modin" -version = "0.26.1" +version = "0.28.2" description = "Modin: Make your pandas code run faster by changing one line of code." optional = true python-versions = ">=3.9" files = [ - {file = "modin-0.26.1-py3-none-any.whl", hash = "sha256:0671c882ee07af181b3fb62b01fe061fdb565f7843984815b3c342eacd681c80"}, - {file = "modin-0.26.1.tar.gz", hash = "sha256:72045b5fcb9a2f63d7ba2ea7b1503bc95b17505a2ecc3eadbd7dc65b06732cff"}, + {file = "modin-0.28.2-py3-none-any.whl", hash = "sha256:cedfff85f85839367561c72e9e767ecaac5d432410c0b31312bcf69ab267bc0b"}, + {file = "modin-0.28.2.tar.gz", hash = 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pandas = [ { version = ">=1.2.0,<3.0.0", markers = "python_version >= \"3.9\"" }, ] numpy = [ - {version = ">=1.18,<2.0", markers = "python_version < \"3.9\""}, - {version = ">=1.26,<3.0", markers = "python_version >= \"3.9\""} + { version = ">=1.18,<2.0", markers = "python_version < \"3.9\"" }, + { version = ">=1.26,<3.0", markers = "python_version >= \"3.9\"" } ] pyarrow = ">=8.0.0" typing-extensions = "^4.4.0" @@ -77,7 +77,7 @@ geopandas = [ # Distributed modin = [ { version = "0.23.1post0", markers = "python_version < \"3.9\"", optional = true }, - { version = "^0.26.0", markers = "python_version >= \"3.9\"", optional = true } + { version = "^0.28.1", markers = "python_version >= \"3.9\"", optional = true } ] ray = { version = "^2.20.0", extras = ["default", "data"], optional = true } From 4884c39c0d6ee08ad3d26b1f5ed518fe967a1973 Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Tue, 18 Jun 2024 10:38:43 -0500 Subject: [PATCH 4/9] fix typing --- awswrangler/_utils.py | 2 +- awswrangler/athena/_statements.py | 4 +++- awswrangler/athena/_utils.py | 4 ++-- awswrangler/catalog/_get.py | 2 +- awswrangler/dynamodb/_utils.py | 14 +++++++++----- 5 files changed, 16 insertions(+), 10 deletions(-) diff --git a/awswrangler/_utils.py b/awswrangler/_utils.py index a4d50ed93..31bb5f989 100644 --- a/awswrangler/_utils.py +++ b/awswrangler/_utils.py @@ -856,7 +856,7 @@ def split_pandas_frame(df: pd.DataFrame, splits: int) -> list[pd.DataFrame]: total = len(df) each_section, extras = divmod(total, splits) section_sizes = [0] + extras * [each_section + 1] + (splits - extras) * [each_section] - div_points = _nx.array(section_sizes, dtype=_nx.intp).cumsum() # type: ignore[attr-defined] + div_points = _nx.array(section_sizes, dtype=_nx.intp).cumsum() sub_dfs = [] for i in range(splits): diff --git a/awswrangler/athena/_statements.py b/awswrangler/athena/_statements.py index be5825d8e..01ddd7134 100644 --- a/awswrangler/athena/_statements.py +++ b/awswrangler/athena/_statements.py @@ -97,7 +97,9 @@ def create_prepared_statement( @apply_configs -def list_prepared_statements(workgroup: str = "primary", boto3_session: boto3.Session | None = None) -> list[str]: +def list_prepared_statements( + workgroup: str = "primary", boto3_session: boto3.Session | None = None +) -> list[dict[str, Any]]: """ List the prepared statements in the specified workgroup. diff --git a/awswrangler/athena/_utils.py b/awswrangler/athena/_utils.py index d2f10db8f..306e03c14 100644 --- a/awswrangler/athena/_utils.py +++ b/awswrangler/athena/_utils.py @@ -36,7 +36,7 @@ from ._cache import _cache_manager, _LocalMetadataCacheManager if TYPE_CHECKING: - from mypy_boto3_glue.type_defs import ColumnTypeDef + from mypy_boto3_glue.type_defs import ColumnOutputTypeDef _QUERY_FINAL_STATES: list[str] = ["FAILED", "SUCCEEDED", "CANCELLED"] _QUERY_WAIT_POLLING_DELAY: float = 1.0 # SECONDS @@ -993,7 +993,7 @@ def generate_create_query( """ - def parse_columns(columns_description: Sequence["ColumnTypeDef"]) -> str: + def parse_columns(columns_description: Sequence["ColumnOutputTypeDef"]) -> str: columns_str: list[str] = [] for column in columns_description: column_str = f" `{column['Name']}` {column['Type']}" diff --git a/awswrangler/catalog/_get.py b/awswrangler/catalog/_get.py index d397950c6..698cb11cc 100644 --- a/awswrangler/catalog/_get.py +++ b/awswrangler/catalog/_get.py @@ -921,7 +921,7 @@ def get_columns_parameters( """ client_glue = _utils.client("glue", session=boto3_session) response = client_glue.get_table(**_catalog_id(catalog_id=catalog_id, DatabaseName=database, Name=table)) - parameters = {} + parameters: dict[str, Mapping[str, str] | None] = {} for c in response["Table"]["StorageDescriptor"]["Columns"]: parameters[c["Name"]] = c.get("Parameters") if "PartitionKeys" in response["Table"]: diff --git a/awswrangler/dynamodb/_utils.py b/awswrangler/dynamodb/_utils.py index 6934dcd62..c22ab1203 100644 --- a/awswrangler/dynamodb/_utils.py +++ b/awswrangler/dynamodb/_utils.py @@ -23,7 +23,7 @@ ExecuteStatementOutputTypeDef, KeySchemaElementTypeDef, TableAttributeValueTypeDef, - WriteRequestTypeDef, + WriteRequestOutputTypeDef, ) @@ -214,7 +214,7 @@ def __init__( ): self._table_name = table_name self._client = client - self._items_buffer: list["WriteRequestTypeDef"] = [] + self._items_buffer: list["WriteRequestOutputTypeDef"] = [] self._flush_amount = flush_amount self._overwrite_by_pkeys = overwrite_by_pkeys @@ -240,14 +240,16 @@ def delete_item(self, key: dict[str, "AttributeValueTypeDef"]) -> None: """ self._add_request_and_process({"DeleteRequest": {"Key": key}}) - def _add_request_and_process(self, request: "WriteRequestTypeDef") -> None: + def _add_request_and_process(self, request: "WriteRequestOutputTypeDef") -> None: if self._overwrite_by_pkeys: self._remove_dup_pkeys_request_if_any(request, self._overwrite_by_pkeys) self._items_buffer.append(request) self._flush_if_needed() - def _remove_dup_pkeys_request_if_any(self, request: "WriteRequestTypeDef", overwrite_by_pkeys: list[str]) -> None: + def _remove_dup_pkeys_request_if_any( + self, request: "WriteRequestOutputTypeDef", overwrite_by_pkeys: list[str] + ) -> None: pkey_values_new = self._extract_pkey_values(request, overwrite_by_pkeys) for item in self._items_buffer: if self._extract_pkey_values(item, overwrite_by_pkeys) == pkey_values_new: @@ -257,7 +259,9 @@ def _remove_dup_pkeys_request_if_any(self, request: "WriteRequestTypeDef", overw item, ) - def _extract_pkey_values(self, request: "WriteRequestTypeDef", overwrite_by_pkeys: list[str]) -> list[Any] | None: + def _extract_pkey_values( + self, request: "WriteRequestOutputTypeDef", overwrite_by_pkeys: list[str] + ) -> list[Any] | None: if request.get("PutRequest"): return [request["PutRequest"]["Item"][key] for key in overwrite_by_pkeys] if request.get("DeleteRequest"): From d441ea68fe9fbfc624c79f721bc4f4469efc1733 Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Tue, 25 Jun 2024 12:44:20 -0500 Subject: [PATCH 5/9] fix formatting --- awswrangler/catalog/_get.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/awswrangler/catalog/_get.py b/awswrangler/catalog/_get.py index 31ae293db..8f469748b 100644 --- a/awswrangler/catalog/_get.py +++ b/awswrangler/catalog/_get.py @@ -921,7 +921,7 @@ def get_columns_parameters( """ client_glue = _utils.client("glue", session=boto3_session) response = client_glue.get_table(**_catalog_id(catalog_id=catalog_id, DatabaseName=database, Name=table)) - parameters: dict[str, Mapping[str, str] | None] = {} + parameters = {} for c in response["Table"]["StorageDescriptor"]["Columns"]: parameters[c["Name"]] = c.get("Parameters") if "PartitionKeys" in response["Table"]: From 7509a65409f38c267394a39aff9e96647835b80d Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Wed, 26 Jun 2024 11:29:10 -0500 Subject: [PATCH 6/9] upgrade modin --- poetry.lock | 13 +++++++------ pyproject.toml | 2 +- 2 files changed, 8 insertions(+), 7 deletions(-) diff --git a/poetry.lock b/poetry.lock index fb17aa495..77841a484 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3124,13 +3124,13 @@ unidist = ["unidist[mpi] (>=0.2.1,<=0.4.1)"] [[package]] name = "modin" -version = "0.28.2" +version = "0.31.0" description = "Modin: Make your pandas code run faster by changing one line of code." optional = true python-versions = ">=3.9" files = [ - {file = "modin-0.28.2-py3-none-any.whl", hash = "sha256:cedfff85f85839367561c72e9e767ecaac5d432410c0b31312bcf69ab267bc0b"}, - {file = "modin-0.28.2.tar.gz", hash = "sha256:3f81ba2a5de48c2325ec1d9368c96fc14528f865429c7d3971bac53b60a800b2"}, + {file = "modin-0.31.0-py3-none-any.whl", hash = "sha256:d97378709efb883fd6148be40c9b1a039922ac04f4f7db4208c57a2bee344de9"}, + {file = "modin-0.31.0.tar.gz", hash = "sha256:bb11c3b2943d74bf2911fab2acb87d0c45d16becc03708be3392f7a1f5736000"}, ] [package.dependencies] @@ -3141,10 +3141,11 @@ pandas = ">=2.2,<2.3" psutil = ">=5.8.0" [package.extras] -all = ["dask (>=2.22.0)", "distributed (>=2.22.0)", "modin-spreadsheet (>=0.1.0)", "pyarrow (>=7.0.0)", "ray[default] (>=1.13.0,!=2.5.0)"] +all = ["dask (>=2.22.0)", "dataframe-api-compat (>=0.2.7)", "distributed (>=2.22.0)", "modin-spreadsheet (>=0.1.0)", "pyarrow (>=10.0.1)", "ray (>=2.1.0,!=2.5.0)"] +consortium-standard = ["dataframe-api-compat (>=0.2.7)"] dask = ["dask (>=2.22.0)", "distributed (>=2.22.0)"] mpi = ["unidist[mpi] (>=0.2.1)"] -ray = ["pyarrow (>=7.0.0)", "ray[default] (>=1.13.0,!=2.5.0)"] +ray = ["pyarrow (>=10.0.1)", "ray (>=2.1.0,!=2.5.0)"] spreadsheet = ["modin-spreadsheet (>=0.1.0)"] [[package]] @@ -7120,4 +7121,4 @@ sqlserver = ["pyodbc"] [metadata] lock-version = "2.0" python-versions = ">=3.8, <4.0" -content-hash = "c8cc6cab2504f97321082d50f6789cb2e3447e6e72bbc484c305bbca9244789d" +content-hash = "10dddafd76f068f57019aa28ff86fa46375bdf2738c874732886c18e90824804" diff --git a/pyproject.toml b/pyproject.toml index 9824d6042..40ab6f163 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -77,7 +77,7 @@ geopandas = [ # Distributed modin = [ { version = "0.23.1post0", markers = "python_version < \"3.9\"", optional = true }, - { version = "^0.28.1", markers = "python_version >= \"3.9\"", optional = true } + { version = "^0.31.0", markers = "python_version >= \"3.9\"", optional = true } ] ray = { version = "^2.30.0", extras = ["default", "data"], optional = true } From eb066d4106858935c65f4ccdacd5544e3bd72560 Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Wed, 26 Jun 2024 13:32:58 -0500 Subject: [PATCH 7/9] fix bucketing issue --- awswrangler/s3/_write_dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/awswrangler/s3/_write_dataset.py b/awswrangler/s3/_write_dataset.py index 5cfb31713..c6d78a90a 100644 --- a/awswrangler/s3/_write_dataset.py +++ b/awswrangler/s3/_write_dataset.py @@ -28,7 +28,7 @@ def _get_bucketing_series(df: pd.DataFrame, bucketing_info: typing.BucketingInfo axis="columns", ) ) - return bucket_number_series.astype(pd.CategoricalDtype(range(bucketing_info[1]))) + return bucket_number_series.astype(np.array([pd.CategoricalDtype(range(bucketing_info[1]))])) def _simulate_overflow(value: int, bits: int = 31, signed: bool = False) -> int: From f9e00ce3aa2222f504c332032288fd6cd0476a0f Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Wed, 26 Jun 2024 14:30:31 -0500 Subject: [PATCH 8/9] fix test_empty_file --- tests/unit/test_s3_parquet.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/tests/unit/test_s3_parquet.py b/tests/unit/test_s3_parquet.py index ddda82e30..3b3990a7d 100644 --- a/tests/unit/test_s3_parquet.py +++ b/tests/unit/test_s3_parquet.py @@ -730,17 +730,23 @@ def test_parquet_compression(path, compression) -> None: "schema", [None, pa.schema([pa.field("c0", pa.int64()), pa.field("c1", pa.int64()), pa.field("par", pa.string())])] ) def test_empty_file(path, use_threads, schema): + from awswrangler import _utils + df = pd.DataFrame({"c0": [1, 2, 3], "c1": [None, None, None], "par": ["a", "b", "c"]}) df.index = df.index.astype("Int64") df["c0"] = df["c0"].astype("Int64") df["par"] = df["par"].astype("string") wr.s3.to_parquet(df, path, index=True, dataset=True, partition_cols=["par"]) - bucket, key = wr._utils.parse_path(f"{path}test.csv") + + bucket, key = _utils.parse_path(f"{path}test.csv") boto3.client("s3").put_object(Body=b"", Bucket=bucket, Key=key) with pytest.raises(wr.exceptions.InvalidFile): wr.s3.read_parquet(path, use_threads=use_threads, ignore_empty=False, schema=schema) + df2 = wr.s3.read_parquet(path, dataset=True, use_threads=use_threads) + df2 = df2.sort_values(by=["c0"]) df2["par"] = df2["par"].astype("string") + assert_pandas_equals(df, df2) From 755b7fa9b9c8d91aa4e5b9ab1761dcd3e1829713 Mon Sep 17 00:00:00 2001 From: Leon Luttenberger Date: Wed, 26 Jun 2024 16:30:08 -0500 Subject: [PATCH 9/9] add xfail --- tests/unit/test_postgresql.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/unit/test_postgresql.py b/tests/unit/test_postgresql.py index e822900c4..bc964a267 100644 --- a/tests/unit/test_postgresql.py +++ b/tests/unit/test_postgresql.py @@ -12,7 +12,7 @@ import awswrangler as wr import awswrangler.pandas as pd -from .._utils import ensure_data_types, get_df, pandas_equals +from .._utils import ensure_data_types, get_df, is_ray_modin, pandas_equals logging.getLogger("awswrangler").setLevel(logging.DEBUG) @@ -96,6 +96,7 @@ def test_unknown_overwrite_method_error(postgresql_table, postgresql_con): ) +@pytest.mark.xfail(is_ray_modin, raises=ProgrammingError, reason="Broken export of values in Modin") def test_sql_types(postgresql_table, postgresql_con): table = postgresql_table df = get_df()