From 2305c3dd87f5a6fb88077a448292ae26e0c12d03 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 10 Oct 2024 19:49:35 +0200 Subject: [PATCH 01/88] check and convert pd df to snowflake df Signed-off-by: tdhooghe --- .../kedro_datasets/snowflake/snowpark_dataset.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index f47cbf2cb..6bef7a9cb 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -1,10 +1,11 @@ -"""``AbstractDataset`` implementation to access Snowflake using Snowpark dataframes -""" +"""``AbstractDataset`` implementation to access Snowflake using Snowpark dataframes""" + from __future__ import annotations import logging from typing import Any +import pandas as pd import snowflake.snowpark as sp from kedro.io.core import AbstractDataset, DatasetError @@ -220,12 +221,14 @@ def load(self) -> sp.DataFrame: return sp_df def save(self, data: sp.DataFrame) -> None: + if isinstance(data, pd.DataFrame): + data = data.to_pandas() + table_name = [ self._database, self._schema, self._table_name, ] - data.write.save_as_table(table_name, **self._save_args) def _exists(self) -> bool: From 07ef67b4c8b2e1de2a0c1ae8c0c1f43b011d6ecd Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 10 Oct 2024 21:18:02 +0200 Subject: [PATCH 02/88] add tests Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 37 ++++++++++++++++--- 1 file changed, 31 insertions(+), 6 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 09e3cfb9e..5dc4d2ee7 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,15 +1,12 @@ import datetime import os +import pandas as pd import pytest +import snowflake.snowpark as sp from kedro.io.core import DatasetError -try: - import snowflake.snowpark as sp - - from kedro_datasets.snowflake import SnowparkTableDataset as spds -except ImportError: - pass # this is only for test discovery to succeed on Python <> 3.8 +from kedro_datasets.snowflake import SnowparkTableDataset as spds def get_connection(): @@ -123,6 +120,22 @@ def sample_sp_df(sf_session): ) +@pytest.fixture +def sample_pd_df(): + return pd.DataFrame( + { + "name": ["Alice", "Bob"], + "age": [30, 40], + "bday": [datetime.date(1993, 1, 1), datetime.date(1983, 2, 2)], + "height": [5.5, 6.0], + "insert_dttm": [ + datetime.datetime(2023, 1, 1, 10, 0), + datetime.datetime(2023, 1, 1, 12, 0), + ], + } + ) + + @pytest.fixture def sf_session(): sf_session = sp.Session.builder.configs(get_connection()).create() @@ -144,6 +157,18 @@ def test_save(self, sample_sp_df, sf_session): sp_df_saved = sf_session.table("KEDRO_PYTEST_TESTSAVE") assert sp_df_saved.count() == 2 + @pytest.mark.snowflake + def test_save_with_pandas(self, sample_pd_df, sf_session): + sp_df = spds( + table_name="KEDRO_PYTEST_TESTSAVEPANDAS", credentials=get_connection() + ) + sp_df.save(sample_pd_df) + + sp_df_saved = sf_session.table("KEDRO_PYTEST_TESTSAVEPANDAS") + + # Assert the count matches + assert sp_df_saved.count() == 2 + @pytest.mark.snowflake def test_load(self, sample_sp_df, sf_session): print(sf_session) From 04928ba31754d27ee3f07f0d9768aa99651b90ee Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 10 Oct 2024 21:32:13 +0200 Subject: [PATCH 03/88] revert import to previous state Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 706d2c80d..9d206e7a4 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -8,7 +8,7 @@ authors = [ {name = "Kedro"} ] description = "Kedro-Datasets is where you can find all of Kedro's data connectors." -requires-python = ">=3.10" +requires-python = ">=3.11, <3.12" license = {text = "Apache Software License (Apache 2.0)"} dependencies = [ "kedro>=0.19.7", @@ -57,7 +57,7 @@ ibis-datafusion = ["ibis-framework[datafusion]"] ibis-druid = ["ibis-framework[druid]"] ibis-duckdb = ["ibis-framework[duckdb]"] ibis-exasol = ["ibis-framework[exasol]"] -ibis-flink = ["ibis-framework", "apache-flink"] +# ibis-flink = ["ibis-framework", "apache-flink"] ibis-impala = ["ibis-framework[impala]"] ibis-mssql = ["ibis-framework[mssql]"] ibis-mysql = ["ibis-framework[mysql]"] @@ -174,11 +174,11 @@ yaml-yamldataset = ["kedro-datasets[pandas-base]", "PyYAML>=4.2, <7.0"] yaml = ["kedro-datasets[yaml-yamldataset]"] # Experimental Datasets -langchain-chatopenaidataset = ["langchain-openai~=0.1.7"] -langchain-openaiembeddingsdataset = ["langchain-openai~=0.1.7"] -langchain-chatanthropicdataset = ["langchain-anthropic~=0.1.13", "langchain-community~=0.2.0"] -langchain-chatcoheredataset = ["langchain-cohere~=0.1.5", "langchain-community~=0.2.0"] -langchain = ["kedro-datasets[langchain-chatopenaidataset,langchain-openaiembeddingsdataset,langchain-chatanthropicdataset,langchain-chatcoheredataset]"] +# langchain-chatopenaidataset = ["langchain-openai~=0.1.7"] +# langchain-openaiembeddingsdataset = ["langchain-openai~=0.1.7"] +# langchain-chatanthropicdataset = ["langchain-anthropic~=0.1.13", "langchain-community~=0.2.0"] +# langchain-chatcoheredataset = ["langchain-cohere~=0.1.5", "langchain-community~=0.2.0"] +# langchain = ["kedro-datasets[langchain-chatopenaidataset,langchain-openaiembeddingsdataset,langchain-chatanthropicdataset,langchain-chatcoheredataset]"] netcdf-netcdfdataset = ["h5netcdf>=1.2.0","netcdf4>=1.6.4","xarray>=2023.1.0"] netcdf = ["kedro-datasets[netcdf-netcdfdataset]"] From 77551d6fc6a6b8f43d3fb325f574dc76958b3242 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 10 Oct 2024 21:44:11 +0200 Subject: [PATCH 04/88] relax snowpark version Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 9d206e7a4..162c39cfb 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -138,7 +138,7 @@ polars = [ redis-pickledataset = ["redis~=4.1"] redis = ["kedro-datasets[redis-pickledataset]"] -snowflake-snowparktabledataset = ["snowflake-snowpark-python~=1.0"] +snowflake-snowparktabledataset = ["snowflake-snowpark-python"] snowflake = ["kedro-datasets[snowflake-snowparktabledataset]"] spark-deltatabledataset = ["kedro-datasets[spark-base,hdfs-base,s3fs-base,delta-base]"] From fbb3374572c8c0d92a49c53045bfacd027d88190 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 15 Oct 2024 10:21:19 +0200 Subject: [PATCH 05/88] revert pyproject.toml Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 162c39cfb..6d882a2a0 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -8,7 +8,7 @@ authors = [ {name = "Kedro"} ] description = "Kedro-Datasets is where you can find all of Kedro's data connectors." -requires-python = ">=3.11, <3.12" +requires-python = ">=3.10" license = {text = "Apache Software License (Apache 2.0)"} dependencies = [ "kedro>=0.19.7", @@ -40,8 +40,8 @@ dask = ["kedro-datasets[dask-parquetdataset, dask-csvdataset]"] databricks-managedtabledataset = ["kedro-datasets[spark-base,pandas-base,delta-base,hdfs-base,s3fs-base]"] databricks = ["kedro-datasets[databricks-managedtabledataset]"] -geopandas-genericdataset = ["geopandas>=0.8.0, <2.0", "fiona >=1.8, <2.0"] -geopandas = ["kedro-datasets[geopandas-genericdataset]"] +geopandas-geojsondataset = ["geopandas>=0.6.0, <1.0", "pyproj~=3.0"] +geopandas = ["kedro-datasets[geopandas-geojsondataset]"] holoviews-holoviewswriter = ["holoviews>=1.13.0"] holoviews = ["kedro-datasets[holoviews-holoviewswriter]"] @@ -57,7 +57,7 @@ ibis-datafusion = ["ibis-framework[datafusion]"] ibis-druid = ["ibis-framework[druid]"] ibis-duckdb = ["ibis-framework[duckdb]"] ibis-exasol = ["ibis-framework[exasol]"] -# ibis-flink = ["ibis-framework", "apache-flink"] +ibis-flink = ["ibis-framework", "apache-flink"] ibis-impala = ["ibis-framework[impala]"] ibis-mssql = ["ibis-framework[mssql]"] ibis-mysql = ["ibis-framework[mysql]"] @@ -138,7 +138,7 @@ polars = [ redis-pickledataset = ["redis~=4.1"] redis = ["kedro-datasets[redis-pickledataset]"] -snowflake-snowparktabledataset = ["snowflake-snowpark-python"] +snowflake-snowparktabledataset = ["snowflake-snowpark-python~=1.0"] snowflake = ["kedro-datasets[snowflake-snowparktabledataset]"] spark-deltatabledataset = ["kedro-datasets[spark-base,hdfs-base,s3fs-base,delta-base]"] @@ -174,11 +174,11 @@ yaml-yamldataset = ["kedro-datasets[pandas-base]", "PyYAML>=4.2, <7.0"] yaml = ["kedro-datasets[yaml-yamldataset]"] # Experimental Datasets -# langchain-chatopenaidataset = ["langchain-openai~=0.1.7"] -# langchain-openaiembeddingsdataset = ["langchain-openai~=0.1.7"] -# langchain-chatanthropicdataset = ["langchain-anthropic~=0.1.13", "langchain-community~=0.2.0"] -# langchain-chatcoheredataset = ["langchain-cohere~=0.1.5", "langchain-community~=0.2.0"] -# langchain = ["kedro-datasets[langchain-chatopenaidataset,langchain-openaiembeddingsdataset,langchain-chatanthropicdataset,langchain-chatcoheredataset]"] +langchain-chatopenaidataset = ["langchain-openai~=0.1.7"] +langchain-openaiembeddingsdataset = ["langchain-openai~=0.1.7"] +langchain-chatanthropicdataset = ["langchain-anthropic~=0.1.13", "langchain-community~=0.2.0"] +langchain-chatcoheredataset = ["langchain-cohere~=0.1.5", "langchain-community~=0.2.0"] +langchain = ["kedro-datasets[langchain-chatopenaidataset,langchain-openaiembeddingsdataset,langchain-chatanthropicdataset,langchain-chatcoheredataset]"] netcdf-netcdfdataset = ["h5netcdf>=1.2.0","netcdf4>=1.6.4","xarray>=2023.1.0"] netcdf = ["kedro-datasets[netcdf-netcdfdataset]"] @@ -193,7 +193,7 @@ rioxarray = ["kedro-datasets[rioxarray-geotiffdataset]"] # Docs requirements docs = [ - "kedro-sphinx-theme==2024.10.2", + "kedro-sphinx-theme==2024.4.0", "ipykernel>=5.3, <7.0", "Jinja2<3.2.0", ] @@ -215,9 +215,8 @@ test = [ "deltalake>=0.10.0", "dill~=0.3.1", "filelock>=3.4.0, <4.0", - "fiona >=1.8, <2.0", "gcsfs>=2023.1, <2023.3", - "geopandas>=0.8.0, <2.0", + "geopandas>=0.6.0, <1.0", "hdfs>=2.5.8, <3.0", "holoviews>=1.13.0", "ibis-framework[duckdb,examples]", @@ -244,6 +243,7 @@ test = [ "pyarrow>=1.0; python_version < '3.11'", "pyarrow>=7.0; python_version >= '3.11'", # Adding to avoid numpy build errors "pyodbc~=5.0", + "pyproj~=3.0", "pyspark>=3.0; python_version < '3.11'", "pyspark>=3.4; python_version >= '3.11'", "pytest-cov~=3.0", From fb621ae0a06c18306b1117ddc67650091a022621 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 15 Oct 2024 10:44:46 +0200 Subject: [PATCH 06/88] bump snowpark version Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 6d882a2a0..94e942da3 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -138,7 +138,7 @@ polars = [ redis-pickledataset = ["redis~=4.1"] redis = ["kedro-datasets[redis-pickledataset]"] -snowflake-snowparktabledataset = ["snowflake-snowpark-python~=1.0"] +snowflake-snowparktabledataset = ["snowflake-snowpark-python~=1.23"] snowflake = ["kedro-datasets[snowflake-snowparktabledataset]"] spark-deltatabledataset = ["kedro-datasets[spark-base,hdfs-base,s3fs-base,delta-base]"] @@ -255,7 +255,7 @@ test = [ "requests~=2.20", "ruff~=0.0.290", "s3fs>=2021.04", - "snowflake-snowpark-python~=1.0; python_version < '3.11'", + "snowflake-snowpark-python~=1.23; python_version ~= '3.11'", "scikit-learn>=1.0.2,<2", "scipy>=1.7.3", "packaging", From cb320bd006a615b4b1259e3239617be03a9f762b Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 15 Oct 2024 10:48:42 +0200 Subject: [PATCH 07/88] relax python version for snowpark Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 94e942da3..13d1710c9 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -255,7 +255,7 @@ test = [ "requests~=2.20", "ruff~=0.0.290", "s3fs>=2021.04", - "snowflake-snowpark-python~=1.23; python_version ~= '3.11'", + "snowflake-snowpark-python~=1.23", "scikit-learn>=1.0.2,<2", "scipy>=1.7.3", "packaging", From 628def69ae1569c0dc1c2b3cb64cadbcc8a4b604 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 15 Oct 2024 10:50:49 +0200 Subject: [PATCH 08/88] downgrade snowpark to 1.22 Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 13d1710c9..ab0116bf7 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -255,7 +255,7 @@ test = [ "requests~=2.20", "ruff~=0.0.290", "s3fs>=2021.04", - "snowflake-snowpark-python~=1.23", + "snowflake-snowpark-python~=1.22", "scikit-learn>=1.0.2,<2", "scipy>=1.7.3", "packaging", From 136fb09d69fe7e61f588c1adb2c2785d2c3235df Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 15 Oct 2024 10:52:36 +0200 Subject: [PATCH 09/88] upgrade cloudpickle to 2.2.1 Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index ab0116bf7..d333723d7 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -207,7 +207,7 @@ test = [ "biopython~=1.73", "blacken-docs==1.9.2", "black~=22.0", - "cloudpickle<=2.0.0", + "cloudpickle<=2.2.1", "compress-pickle[lz4]~=2.1.0", "coverage>=7.2.0", "dask[complete]>=2021.10", @@ -255,7 +255,7 @@ test = [ "requests~=2.20", "ruff~=0.0.290", "s3fs>=2021.04", - "snowflake-snowpark-python~=1.22", + "snowflake-snowpark-python~=1.23", "scikit-learn>=1.0.2,<2", "scipy>=1.7.3", "packaging", From fe3bfbe5235e2cb77261fa3b223b987b4f4b6d57 Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Fri, 11 Oct 2024 03:22:02 -0600 Subject: [PATCH 10/88] feat(datasets): create separate `ibis.FileDataset` (#842) * feat(datasets): create separate `ibis.FileDataset` Signed-off-by: Deepyaman Datta * chore(datasets): deprecate `TableDataset` file I/O Signed-off-by: Deepyaman Datta * feat(datasets): implement `FileDataset` versioning Signed-off-by: Deepyaman Datta * chore(datasets): try `os.path.exists`, for Windows Signed-off-by: Deepyaman Datta * revert(datasets): use pathlib, ignore Windows test Refs: b7ff0c7 Signed-off-by: Deepyaman Datta * docs(datasets): add `ibis.FileDataset` to contents Signed-off-by: Deepyaman Datta * chore(datasets): add docstring for `hashable` func Signed-off-by: Deepyaman Datta * chore(datasets): add docstring for `hashable` func Signed-off-by: Deepyaman Datta * feat(datasets)!: expose `load` and `save` publicly Signed-off-by: Deepyaman Datta * chore(datasets): remove second filepath assignment Signed-off-by: Deepyaman Datta --------- Signed-off-by: Deepyaman Datta Signed-off-by: tdhooghe --- kedro-datasets/RELEASE.md | 376 ++++++++++-------- .../docs/source/api/kedro_datasets.rst | 1 + .../kedro_datasets/ibis/__init__.py | 4 +- .../kedro_datasets/ibis/file_dataset.py | 195 +++++++++ .../kedro_datasets/ibis/table_dataset.py | 29 +- .../tests/ibis/test_file_dataset.py | 274 +++++++++++++ 6 files changed, 706 insertions(+), 173 deletions(-) create mode 100644 kedro-datasets/kedro_datasets/ibis/file_dataset.py create mode 100644 kedro-datasets/tests/ibis/test_file_dataset.py diff --git a/kedro-datasets/RELEASE.md b/kedro-datasets/RELEASE.md index bc420e2e9..d90898153 100755 --- a/kedro-datasets/RELEASE.md +++ b/kedro-datasets/RELEASE.md @@ -1,356 +1,414 @@ # Upcoming Release +## Major features and improvements + +- Added the following new core datasets: + +| Type | Description | Location | +| ------------------- | ------------------------------------------------------------- | --------------------- | +| `ibis.TableDataset` | A dataset for loading and saving files using Ibis's backends. | `kedro_datasets.ibis` | # Release 5.0.0 + ## Major features and improvements -* Removed support for Python 3.9 -* Added the following new **experimental** datasets: -| Type | Description | Location | -|-------------------------------------|-----------------------------------------------------------|-----------------------------------------| -| `pytorch.PyTorchDataset` | A dataset for securely saving and loading PyTorch models | `kedro_datasets_experimental.pytorch` | -| `prophet.ProphetModelDataset` | A dataset for Meta's Prophet model for time series forecasting | `kedro_datasets_experimental.prophet` | +- Removed support for Python 3.9. +- Added the following new **experimental** datasets: +| Type | Description | Location | +| ----------------------------- | --------------------------------------------------------------- | ------------------------------------- | +| `pytorch.PyTorchDataset` | A dataset for securely saving and loading PyTorch models. | `kedro_datasets_experimental.pytorch` | +| `prophet.ProphetModelDataset` | A dataset for Meta's Prophet model for time series forecasting. | `kedro_datasets_experimental.prophet` | -* Added the following new core datasets: +- Added the following new core datasets: -| Type | Description | Location | -|----------------------|------------------------------------------------|-------------------------| -| `plotly.HTMLDataset` | A dataset for saving a `plotly` figure as HTML | `kedro_datasets.plotly` | +| Type | Description | Location | +| -------------------- | ----------------------------------------------- | ----------------------- | +| `plotly.HTMLDataset` | A dataset for saving a `plotly` figure as HTML. | `kedro_datasets.plotly` | ## Bug fixes and other changes -* Refactored all datasets to set `fs_args` defaults in the same way as `load_args` and `save_args` and not have hardcoded values in the save methods. -* Fixed bug related to loading/saving models from/to remote storage using `TensorFlowModelDataset`. -* Fixed deprecated load and save approaches of GBQTableDataset and GBQQueryDataset by invoking save and load directly over `pandas-gbq` lib -* Fixed incorrect `pandas` optional dependency + +- Refactored all datasets to set `fs_args` defaults in the same way as `load_args` and `save_args` and not have hardcoded values in the save methods. +- Fixed bug related to loading/saving models from/to remote storage using `TensorFlowModelDataset`. +- Fixed deprecated load and save approaches of `GBQTableDataset` and `GBQQueryDataset` by invoking save and load directly over `pandas-gbq` lib. +- Fixed incorrect `pandas` optional dependency. ## Breaking Changes -* Exposed `load` and `save` publicly for each dataset. This requires Kedro version 0.19.7 or higher. -* Replaced the `geopandas.GeoJSONDataset` with `geopandas.GenericDataset` to support parquet and feather file formats. + +- Exposed `load` and `save` publicly for each dataset. This requires Kedro version 0.19.7 or higher. +- Replaced the `geopandas.GeoJSONDataset` with `geopandas.GenericDataset` to support parquet and feather file formats. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [Brandon Meek](https://github.com/bpmeek) -* [yury-fedotov](https://github.com/yury-fedotov) -* [gitgud5000](https://github.com/gitgud5000) -* [janickspirig](https://github.com/janickspirig) -* [Galen Seilis](https://github.com/galenseilis) -* [Mariusz Wojakowski](https://github.com/mariusz89016) -* [harm-matthias-harms](https://github.com/harm-matthias-harms) -* [Felix Scherz](https://github.com/felixscherz) +- [Brandon Meek](https://github.com/bpmeek) +- [yury-fedotov](https://github.com/yury-fedotov) +- [gitgud5000](https://github.com/gitgud5000) +- [janickspirig](https://github.com/janickspirig) +- [Galen Seilis](https://github.com/galenseilis) +- [Mariusz Wojakowski](https://github.com/mariusz89016) +- [harm-matthias-harms](https://github.com/harm-matthias-harms) +- [Felix Scherz](https://github.com/felixscherz) # Release 4.1.0 + ## Major features and improvements -* Improved `partitions.PartitionedDataset` representation when printing. + +- Improved `partitions.PartitionedDataset` representation when printing. ## Bug fixes and other changes -* Updated `ibis.TableDataset` to make sure credentials are not printed in interactive environment. + +- Updated `ibis.TableDataset` to make sure credentials are not printed in interactive environment. ## Breaking Changes -## Community contributions +## Community contributions # Release 4.0.0 + ## Major features and improvements -* Added the following new **experimental** datasets: +- Added the following new **experimental** datasets: | Type | Description | Location | -|-------------------------------------|-----------------------------------------------------------|-----------------------------------------| +| ----------------------------------- | --------------------------------------------------------- | --------------------------------------- | | `langchain.ChatAnthropicDataset` | A dataset for loading a ChatAnthropic langchain model. | `kedro_datasets_experimental.langchain` | | `langchain.ChatCohereDataset` | A dataset for loading a ChatCohere langchain model. | `kedro_datasets_experimental.langchain` | | `langchain.OpenAIEmbeddingsDataset` | A dataset for loading a OpenAIEmbeddings langchain model. | `kedro_datasets_experimental.langchain` | | `langchain.ChatOpenAIDataset` | A dataset for loading a ChatOpenAI langchain model. | `kedro_datasets_experimental.langchain` | | `rioxarray.GeoTIFFDataset` | A dataset for loading and saving geotiff raster data | `kedro_datasets_experimental.rioxarray` | -| `netcdf.NetCDFDataset` | A dataset for loading and saving "*.nc" files. | `kedro_datasets_experimental.netcdf` | +| `netcdf.NetCDFDataset` | A dataset for loading and saving "\*.nc" files. | `kedro_datasets_experimental.netcdf` | -* Added the following new core datasets: +- Added the following new core datasets: -| Type | Description | Location | -|-------------------------------------|-----------------------------------------------------------|-----------------------------------------| -| `dask.CSVDataset` | A dataset for loading a CSV files using `dask` | `kedro_datasets.dask` | +| Type | Description | Location | +| ----------------- | ---------------------------------------------- | --------------------- | +| `dask.CSVDataset` | A dataset for loading a CSV files using `dask` | `kedro_datasets.dask` | -* Extended preview feature to `yaml.YAMLDataset`. +- Extended preview feature to `yaml.YAMLDataset`. ## Bug fixes and other changes -* Added `metadata` parameter for a few datasets + +- Added `metadata` parameter for a few datasets ## Breaking Changes -* `netcdf.NetCDFDataset` moved from `kedro_datasets` to `kedro_datasets_experimental`. + +- `netcdf.NetCDFDataset` moved from `kedro_datasets` to `kedro_datasets_experimental`. ## Community contributions Many thanks to the following Kedroids for contributing PRs to this release: -* [Ian Whalen](https://github.com/ianwhale) -* [Charles Guan](https://github.com/charlesbmi) -* [Thomas Gölles](https://github.com/tgoelles) -* [Lukas Innig](https://github.com/derluke) -* [Michael Sexton](https://github.com/michaelsexton) -* [michal-mmm](https://github.com/michal-mmm) - - +- [Ian Whalen](https://github.com/ianwhale) +- [Charles Guan](https://github.com/charlesbmi) +- [Thomas Gölles](https://github.com/tgoelles) +- [Lukas Innig](https://github.com/derluke) +- [Michael Sexton](https://github.com/michaelsexton) +- [michal-mmm](https://github.com/michal-mmm) # Release 3.0.1 ## Bug fixes and other changes -* Removed arbitrary upper bound for `s3fs`. -* `NetCDFDataset` support for NetCDF4 via `engine="netcdf4"` and `engine="h5netcdf"` + +- Removed arbitrary upper bound for `s3fs`. +- Added support for NetCDF4 via `engine="netcdf4"` and `engine="h5netcdf"` to `netcdf.NetCDFDataset`. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [Charles Guan](https://github.com/charlesbmi) + +- [Charles Guan](https://github.com/charlesbmi) # Release 3.0.0 + ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: -| Type | Description | Location | -|-------------------------|-----------------------------------------------------------|-------------------------| -| `netcdf.NetCDFDataset` | A dataset for loading and saving `*.nc` files. | `kedro_datasets.netcdf` | -| `ibis.TableDataset` | A dataset for loading and saving using Ibis's backends. | `kedro_datasets.ibis` | +| Type | Description | Location | +| ---------------------- | ------------------------------------------------------- | ----------------------- | +| `netcdf.NetCDFDataset` | A dataset for loading and saving `*.nc` files. | `kedro_datasets.netcdf` | +| `ibis.TableDataset` | A dataset for loading and saving using Ibis's backends. | `kedro_datasets.ibis` | + +- Added support for Python 3.12. +- Normalised optional dependencies names for datasets to follow [PEP 685](https://peps.python.org/pep-0685/). The `.` characters have been replaced with `-` in the optional dependencies names. Note that this might be breaking for some users. For example, users should now install optional dependencies for `pandas.ParquetDataset` from `kedro-datasets` like this: -* Added support for Python 3.12. -* Normalised optional dependencies names for datasets to follow [PEP 685](https://peps.python.org/pep-0685/). The `.` characters have been replaced with `-` in the optional dependencies names. Note that this might be breaking for some users. For example, users should now install optional dependencies for `pandas.ParquetDataset` from `kedro-datasets` like this: ```bash pip install kedro-datasets[pandas-parquetdataset] ``` -* Removed `setup.py` and move to `pyproject.toml` completely for `kedro-datasets`. + +- Removed `setup.py` and move to `pyproject.toml` completely for `kedro-datasets`. ## Bug fixes and other changes -* If using MSSQL, `load_args:params` will be typecasted as tuple. -* Fixed bug with loading datasets from Hugging Face. Now allows passing parameters to the load_dataset function. -* Made `connection_args` argument optional when calling `create_connection()` in `sql_dataset.py`. + +- If using MSSQL, `load_args:params` will be typecasted as tuple. +- Fixed bug with loading datasets from Hugging Face. Now allows passing parameters to the load_dataset function. +- Made `connection_args` argument optional when calling `create_connection()` in `sql_dataset.py`. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [Riley Brady](https://github.com/riley-brady) -* [Andrew Cao](https://github.com/andrewcao1) -* [Eduardo Romero Lopez](https://github.com/eromerobilbomatica) -* [Jerome Asselin](https://github.com/jerome-asselin-buspatrol) +- [Riley Brady](https://github.com/riley-brady) +- [Andrew Cao](https://github.com/andrewcao1) +- [Eduardo Romero Lopez](https://github.com/eromerobilbomatica) +- [Jerome Asselin](https://github.com/jerome-asselin-buspatrol) # Release 2.1.0 + ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: | Type | Description | Location | -|------------------------|-------------------------------------------------------------|-------------------------| +| ---------------------- | ----------------------------------------------------------- | ----------------------- | | `matlab.MatlabDataset` | A dataset which uses `scipy` to save and load `.mat` files. | `kedro_datasets.matlab` | -* Extended preview feature for matplotlib, plotly and tracking datasets. -* Allowed additional parameters for sqlalchemy engine when using sql datasets. +- Extended preview feature for matplotlib, plotly and tracking datasets. +- Allowed additional parameters for sqlalchemy engine when using sql datasets. ## Bug fixes and other changes -* Removed Windows specific conditions in `pandas.HDFDataset` extra dependencies + +- Removed Windows specific conditions in `pandas.HDFDataset` extra dependencies ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [Samuel Lee SJ](https://github.com/samuel-lee-sj) -* [Felipe Monroy](https://github.com/felipemonroy) -* [Manuel Spierenburg](https://github.com/mjspier) + +- [Samuel Lee SJ](https://github.com/samuel-lee-sj) +- [Felipe Monroy](https://github.com/felipemonroy) +- [Manuel Spierenburg](https://github.com/mjspier) # Release 2.0.0 + ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: | Type | Description | Location | -|--------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|------------------------------| +| ------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- | | `huggingface.HFDataset` | A dataset to load Hugging Face datasets using the [datasets](https://pypi.org/project/datasets) library. | `kedro_datasets.huggingface` | | `huggingface.HFTransformerPipelineDataset` | A dataset to load pretrained Hugging Face transformers using the [transformers](https://pypi.org/project/transformers) library. | `kedro_datasets.huggingface` | -* Removed Dataset classes ending with "DataSet", use the "Dataset" spelling instead. -* Removed support for Python 3.7 and 3.8. -* Added [databricks-connect>=13.0](https://docs.databricks.com/en/dev-tools/databricks-connect-ref.html) support for Spark- and Databricks-based datasets. -* Bumped `s3fs` to latest calendar-versioned release. -* `PartitionedDataset` and `IncrementalDataset` now both support versioning of the underlying dataset. +- Removed Dataset classes ending with "DataSet", use the "Dataset" spelling instead. +- Removed support for Python 3.7 and 3.8. +- Added [databricks-connect>=13.0](https://docs.databricks.com/en/dev-tools/databricks-connect-ref.html) support for Spark- and Databricks-based datasets. +- Bumped `s3fs` to latest calendar-versioned release. +- `PartitionedDataset` and `IncrementalDataset` now both support versioning of the underlying dataset. ## Bug fixes and other changes -* Fixed bug with loading models saved with `TensorFlowModelDataset`. -* Made dataset parameters keyword-only. -* Corrected pandas-gbq as py311 dependency. + +- Fixed bug with loading models saved with `TensorFlowModelDataset`. +- Made dataset parameters keyword-only. +- Corrected pandas-gbq as py311 dependency. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [Edouard59](https://github.com/Edouard59) -* [Miguel Rodriguez Gutierrez](https://github.com/MigQ2) -* [felixscherz](https://github.com/felixscherz) -* [Onur Kuru](https://github.com/kuruonur1) + +- [Edouard59](https://github.com/Edouard59) +- [Miguel Rodriguez Gutierrez](https://github.com/MigQ2) +- [felixscherz](https://github.com/felixscherz) +- [Onur Kuru](https://github.com/kuruonur1) # Release 1.8.0 + ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: -| Type | Description | Location | -|------------------------------|------------------------------------------------------------------------|-------------------------| -| `polars.LazyPolarsDataset` | A `LazyPolarsDataset` using [polars](https://www.pola.rs/)'s Lazy API. | `kedro_datasets.polars` | +| Type | Description | Location | +| -------------------------- | ---------------------------------------------------------------------- | ----------------------- | +| `polars.LazyPolarsDataset` | A `LazyPolarsDataset` using [polars](https://www.pola.rs/)'s Lazy API. | `kedro_datasets.polars` | -* Moved `PartitionedDataSet` and `IncrementalDataSet` from the core Kedro repo to `kedro-datasets` and renamed to `PartitionedDataset` and `IncrementalDataset`. -* Renamed `polars.GenericDataSet` to `polars.EagerPolarsDataset` to better reflect the difference between the two dataset classes. -* Added a deprecation warning when using `polars.GenericDataSet` or `polars.GenericDataset` that these have been renamed to `polars.EagerPolarsDataset` -* Delayed backend connection for `pandas.SQLTableDataset`, `pandas.SQLQueryDataset`, and `snowflake.SnowparkTableDataset`. In practice, this means that a dataset's connection details aren't used (or validated) until the dataset is accessed. On the plus side, the cost of connection isn't incurred regardless of when or whether the dataset is used. +- Moved `PartitionedDataSet` and `IncrementalDataSet` from the core Kedro repo to `kedro-datasets` and renamed to `PartitionedDataset` and `IncrementalDataset`. +- Renamed `polars.GenericDataSet` to `polars.EagerPolarsDataset` to better reflect the difference between the two dataset classes. +- Added a deprecation warning when using `polars.GenericDataSet` or `polars.GenericDataset` that these have been renamed to `polars.EagerPolarsDataset` +- Delayed backend connection for `pandas.SQLTableDataset`, `pandas.SQLQueryDataset`, and `snowflake.SnowparkTableDataset`. In practice, this means that a dataset's connection details aren't used (or validated) until the dataset is accessed. On the plus side, the cost of connection isn't incurred regardless of when or whether the dataset is used. ## Bug fixes and other changes -* Fixed erroneous warning when using an cloud protocol file path with SparkDataSet on Databricks. -* Updated `PickleDataset` to explicitly mention `cloudpickle` support. + +- Fixed erroneous warning when using an cloud protocol file path with SparkDataSet on Databricks. +- Updated `PickleDataset` to explicitly mention `cloudpickle` support. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [PtrBld](https://github.com/PtrBld) -* [Alistair McKelvie](https://github.com/alamastor) -* [Felix Wittmann](https://github.com/hfwittmann) -* [Matthias Roels](https://github.com/MatthiasRoels) + +- [PtrBld](https://github.com/PtrBld) +- [Alistair McKelvie](https://github.com/alamastor) +- [Felix Wittmann](https://github.com/hfwittmann) +- [Matthias Roels](https://github.com/MatthiasRoels) # Release 1.7.1 + ## Bug fixes and other changes -* Pinned `tables` version on `kedro-datasets` for Python < 3.8. + +- Pinned `tables` version on `kedro-datasets` for Python < 3.8. ## Upcoming deprecations for Kedro-Datasets 2.0.0 -* Renamed dataset and error classes, in accordance with the [Kedro lexicon](https://github.com/kedro-org/kedro/wiki/Kedro-documentation-style-guide#kedro-lexicon). Dataset classes ending with "DataSet" are deprecated and will be removed in 2.0.0. + +- Renamed dataset and error classes, in accordance with the [Kedro lexicon](https://github.com/kedro-org/kedro/wiki/Kedro-documentation-style-guide#kedro-lexicon). Dataset classes ending with "DataSet" are deprecated and will be removed in 2.0.0. # Release 1.7.0: + ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: -| Type | Description | Location | -|---------------------------|----------------------------------------------------------------------------------------------------------------------------|-------------------------| -| `polars.GenericDataSet` | A `GenericDataSet` backed by [polars](https://www.pola.rs/), a lightning fast dataframe package built entirely using Rust. | `kedro_datasets.polars` | +| Type | Description | Location | +| ----------------------- | -------------------------------------------------------------------------------------------------------------------------- | ----------------------- | +| `polars.GenericDataSet` | A `GenericDataSet` backed by [polars](https://www.pola.rs/), a lightning fast dataframe package built entirely using Rust. | `kedro_datasets.polars` | ## Bug fixes and other changes -* Fixed broken links in docstrings. -* Reverted PySpark pin to <4.0. + +- Fixed broken links in docstrings. +- Reverted PySpark pin to <4.0. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [Walber Moreira](https://github.com/wmoreiraa) + +- [Walber Moreira](https://github.com/wmoreiraa) # Release 1.6.0: ## Major features and improvements -* Added support for Python 3.11. + +- Added support for Python 3.11. # Release 1.5.3: + ## Bug fixes and other changes -* Made `databricks.ManagedTableDataSet` read-only by default. - * The user needs to specify `write_mode` to allow `save` on the data set. -* Fixed an issue on `api.APIDataSet` where the sent data was doubly converted to json + +- Made `databricks.ManagedTableDataSet` read-only by default. + - The user needs to specify `write_mode` to allow `save` on the data set. +- Fixed an issue on `api.APIDataSet` where the sent data was doubly converted to json string (once by us and once by the `requests` library). -* Fixed problematic `kedro-datasets` optional dependencies, revert to `setup.py` +- Fixed problematic `kedro-datasets` optional dependencies, revert to `setup.py` ## Community contributions + # Release 1.5.2: ## Bug fixes and other changes -* Fixed problematic `kedro-datasets` optional dependencies. + +- Fixed problematic `kedro-datasets` optional dependencies. # Release 1.5.1: ## Bug fixes and other changes -* Fixed problematic docstrings in `pandas.DeltaTableDataSet` causing Read the Docs builds on Kedro to fail. + +- Fixed problematic docstrings in `pandas.DeltaTableDataSet` causing Read the Docs builds on Kedro to fail. # Release 1.5.0 ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: | Type | Description | Location | -| -------------------------- |--------------------------------------|-------------------------| +| -------------------------- | ------------------------------------ | ----------------------- | | `pandas.DeltaTableDataSet` | A dataset to work with delta tables. | `kedro_datasets.pandas` | -* Implemented lazy loading of dataset subpackages and classes. - * Suppose that SQLAlchemy, a Python SQL toolkit, is installed in your Python environment. With this change, the SQLAlchemy library will not be loaded (for `pandas.SQLQueryDataSet` or `pandas.SQLTableDataSet`) if you load a different pandas dataset (e.g. `pandas.CSVDataSet`). -* Added automatic inference of file format for `pillow.ImageDataSet` to be passed to `save()`. +- Implemented lazy loading of dataset subpackages and classes. + - Suppose that SQLAlchemy, a Python SQL toolkit, is installed in your Python environment. With this change, the SQLAlchemy library will not be loaded (for `pandas.SQLQueryDataSet` or `pandas.SQLTableDataSet`) if you load a different pandas dataset (e.g. `pandas.CSVDataSet`). +- Added automatic inference of file format for `pillow.ImageDataSet` to be passed to `save()`. ## Bug fixes and other changes -* Improved error messages for missing dataset dependencies. - * Suppose that SQLAlchemy, a Python SQL toolkit, is not installed in your Python environment. Previously, `from kedro_datasets.pandas import SQLQueryDataSet` or `from kedro_datasets.pandas import SQLTableDataSet` would result in `ImportError: cannot import name 'SQLTableDataSet' from 'kedro_datasets.pandas'`. Now, the same imports raise the more helpful and intuitive `ModuleNotFoundError: No module named 'sqlalchemy'`. + +- Improved error messages for missing dataset dependencies. + - Suppose that SQLAlchemy, a Python SQL toolkit, is not installed in your Python environment. Previously, `from kedro_datasets.pandas import SQLQueryDataSet` or `from kedro_datasets.pandas import SQLTableDataSet` would result in `ImportError: cannot import name 'SQLTableDataSet' from 'kedro_datasets.pandas'`. Now, the same imports raise the more helpful and intuitive `ModuleNotFoundError: No module named 'sqlalchemy'`. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [Daniel-Falk](https://github.com/daniel-falk) -* [afaqueahmad7117](https://github.com/afaqueahmad7117) -* [everdark](https://github.com/everdark) +- [Daniel-Falk](https://github.com/daniel-falk) +- [afaqueahmad7117](https://github.com/afaqueahmad7117) +- [everdark](https://github.com/everdark) # Release 1.4.2 + ## Bug fixes and other changes -* Fixed documentations of `GeoJSONDataSet` and `SparkStreamingDataSet`. -* Fixed problematic docstrings causing Read the Docs builds on Kedro to fail. + +- Fixed documentations of `GeoJSONDataSet` and `SparkStreamingDataSet`. +- Fixed problematic docstrings causing Read the Docs builds on Kedro to fail. # Release 1.4.1: ## Bug fixes and other changes -* Fixed missing `pickle.PickleDataSet` extras in `setup.py`. + +- Fixed missing `pickle.PickleDataSet` extras in `setup.py`. # Release 1.4.0: ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: | Type | Description | Location | -|-------------------------------|-----------------------------------------------------|------------------------| +| ----------------------------- | --------------------------------------------------- | ---------------------- | | `spark.SparkStreamingDataSet` | A dataset to work with PySpark Streaming DataFrame. | `kedro_datasets.spark` | ## Bug fixes and other changes -* Fixed problematic docstrings of `APIDataSet`. + +- Fixed problematic docstrings of `APIDataSet`. # Release 1.3.0: ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: | Type | Description | Location | -|----------------------------------|---------------------------------------------------------|-----------------------------| +| -------------------------------- | ------------------------------------------------------- | --------------------------- | | `databricks.ManagedTableDataSet` | A dataset to access managed delta tables in Databricks. | `kedro_datasets.databricks` | -* Added pandas 2.0 support. -* Added SQLAlchemy 2.0 support (and dropped support for versions below 1.4). -* Added a save method to `APIDataSet`. -* Reduced constructor arguments for `APIDataSet` by replacing most arguments with a single constructor argument `load_args`. This makes it more consistent with other Kedro DataSets and the underlying `requests` API, and automatically enables the full configuration domain: stream, certificates, proxies, and more. -* Relaxed Kedro version pin to `>=0.16`. -* Added `metadata` attribute to all existing datasets. This is ignored by Kedro, but may be consumed by users or external plugins. +- Added pandas 2.0 support. +- Added SQLAlchemy 2.0 support (and dropped support for versions below 1.4). +- Added a save method to `APIDataSet`. +- Reduced constructor arguments for `APIDataSet` by replacing most arguments with a single constructor argument `load_args`. This makes it more consistent with other Kedro DataSets and the underlying `requests` API, and automatically enables the full configuration domain: stream, certificates, proxies, and more. +- Relaxed Kedro version pin to `>=0.16`. +- Added `metadata` attribute to all existing datasets. This is ignored by Kedro, but may be consumed by users or external plugins. ## Bug fixes and other changes -* Relaxed `delta-spark` upper bound to allow compatibility with Spark 3.1.x and 3.2.x. -* Upgraded required `polars` version to 0.17. -* Renamed `TensorFlowModelDataset` to `TensorFlowModelDataSet` to be consistent with all other plugins in Kedro-Datasets. + +- Relaxed `delta-spark` upper bound to allow compatibility with Spark 3.1.x and 3.2.x. +- Upgraded required `polars` version to 0.17. +- Renamed `TensorFlowModelDataset` to `TensorFlowModelDataSet` to be consistent with all other plugins in Kedro-Datasets. ## Community contributions + Many thanks to the following Kedroids for contributing PRs to this release: -* [BrianCechmanek](https://github.com/BrianCechmanek) -* [McDonnellJoseph](https://github.com/McDonnellJoseph) -* [Danny Farah](https://github.com/dannyrfar) +- [BrianCechmanek](https://github.com/BrianCechmanek) +- [McDonnellJoseph](https://github.com/McDonnellJoseph) +- [Danny Farah](https://github.com/dannyrfar) # Release 1.2.0: ## Major features and improvements -* Added `fsspec` resolution in `SparkDataSet` to support more filesystems. -* Added the `_preview` method to the Pandas `ExcelDataSet` and `CSVDataSet` classes. + +- Added `fsspec` resolution in `SparkDataSet` to support more filesystems. +- Added the `_preview` method to the Pandas `ExcelDataSet` and `CSVDataSet` classes. ## Bug fixes and other changes -* Fixed a docstring in the Pandas `SQLQueryDataSet` as part of the Sphinx revamp on Kedro. + +- Fixed a docstring in the Pandas `SQLQueryDataSet` as part of the Sphinx revamp on Kedro. # Release 1.1.1: ## Bug fixes and other changes -* Fixed problematic docstrings causing Read the Docs builds on Kedro to fail. +- Fixed problematic docstrings causing Read the Docs builds on Kedro to fail. # Release 1.1.0: ## Major features and improvements -* Added the following new datasets: +- Added the following new datasets: | Type | Description | Location | | -------------------------------- | --------------------------------------------------------------------------------------------------------------------- | -------------------------- | @@ -358,21 +416,23 @@ Many thanks to the following Kedroids for contributing PRs to this release: | `snowflake.SnowparkTableDataSet` | Work with [Snowpark](https://www.snowflake.com/en/data-cloud/snowpark/) DataFrames from tables in Snowflake. | `kedro_datasets.snowflake` | ## Bug fixes and other changes -* Add `mssql` backend to the `SQLQueryDataSet` DataSet using `pyodbc` library. -* Added a warning when the user tries to use `SparkDataSet` on Databricks without specifying a file path with the `/dbfs/` prefix. + +- Add `mssql` backend to the `SQLQueryDataSet` DataSet using `pyodbc` library. +- Added a warning when the user tries to use `SparkDataSet` on Databricks without specifying a file path with the `/dbfs/` prefix. # Release 1.0.2: ## Bug fixes and other changes -* Change reference to `kedro.pipeline.Pipeline` object throughout test suite with `kedro.modular_pipeline.pipeline` factory. -* Relaxed PyArrow range in line with pandas. -* Fixed outdated links to the dill package documentation. + +- Change reference to `kedro.pipeline.Pipeline` object throughout test suite with `kedro.modular_pipeline.pipeline` factory. +- Relaxed PyArrow range in line with pandas. +- Fixed outdated links to the dill package documentation. # Release 1.0.1: ## Bug fixes and other changes -* Fixed docstring formatting in `VideoDataSet` that was causing the documentation builds to fail. +- Fixed docstring formatting in `VideoDataSet` that was causing the documentation builds to fail. # Release 1.0.0: @@ -383,7 +443,8 @@ Datasets are Kedro’s way of dealing with input and output in a data and machin The datasets have always been part of the core Kedro Framework project inside `kedro.extras`. In Kedro `0.19.0`, we will remove datasets from Kedro to reduce breaking changes associated with dataset dependencies. Instead, users will need to use the datasets from the `kedro-datasets` repository instead. ## Major features and improvements -* Changed `pandas.ParquetDataSet` to load data using pandas instead of parquet. + +- Changed `pandas.ParquetDataSet` to load data using pandas instead of parquet. # Release 0.1.0: @@ -391,5 +452,4 @@ The initial release of Kedro-Datasets. ## Thanks to our main contributors - We are also grateful to everyone who advised and supported us, filed issues or helped resolve them, asked and answered questions and were part of inspiring discussions. diff --git a/kedro-datasets/docs/source/api/kedro_datasets.rst b/kedro-datasets/docs/source/api/kedro_datasets.rst index 45b275de5..3da276e87 100644 --- a/kedro-datasets/docs/source/api/kedro_datasets.rst +++ b/kedro-datasets/docs/source/api/kedro_datasets.rst @@ -21,6 +21,7 @@ kedro_datasets holoviews.HoloviewsWriter huggingface.HFDataset huggingface.HFTransformerPipelineDataset + ibis.FileDataset ibis.TableDataset json.JSONDataset matlab.MatlabDataset diff --git a/kedro-datasets/kedro_datasets/ibis/__init__.py b/kedro-datasets/kedro_datasets/ibis/__init__.py index 7e793c4e0..47867f657 100644 --- a/kedro-datasets/kedro_datasets/ibis/__init__.py +++ b/kedro-datasets/kedro_datasets/ibis/__init__.py @@ -4,8 +4,10 @@ import lazy_loader as lazy # https://github.com/pylint-dev/pylint/issues/4300#issuecomment-1043601901 +FileDataset: Any TableDataset: Any __getattr__, __dir__, __all__ = lazy.attach( - __name__, submod_attrs={"table_dataset": ["TableDataset"]} + __name__, + submod_attrs={"file_dataset": ["FileDataset"], "table_dataset": ["TableDataset"]}, ) diff --git a/kedro-datasets/kedro_datasets/ibis/file_dataset.py b/kedro-datasets/kedro_datasets/ibis/file_dataset.py new file mode 100644 index 000000000..11b58bc32 --- /dev/null +++ b/kedro-datasets/kedro_datasets/ibis/file_dataset.py @@ -0,0 +1,195 @@ +"""Provide file loading and saving functionality for Ibis's backends.""" +from __future__ import annotations + +from copy import deepcopy +from pathlib import Path, PurePosixPath +from typing import TYPE_CHECKING, Any, ClassVar + +import ibis.expr.types as ir +from kedro.io import AbstractVersionedDataset, DatasetError, Version + +if TYPE_CHECKING: + from ibis import BaseBackend + + +class FileDataset(AbstractVersionedDataset[ir.Table, ir.Table]): + """``FileDataset`` loads/saves data from/to a specified file format. + + Example usage for the + `YAML API `_: + + .. code-block:: yaml + + cars: + type: ibis.FileDataset + filepath: data/01_raw/company/cars.csv + file_format: csv + table_name: cars + connection: + backend: duckdb + database: company.db + load_args: + sep: "," + nullstr: "#NA" + save_args: + sep: "," + nullstr: "#NA" + + motorbikes: + type: ibis.FileDataset + filepath: s3://your_bucket/data/02_intermediate/company/motorbikes/ + file_format: delta + table_name: motorbikes + connection: + backend: polars + + Example usage for the + `Python API `_: + + .. code-block:: pycon + + >>> import ibis + >>> from kedro_datasets.ibis import FileDataset + >>> + >>> data = ibis.memtable({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + >>> + >>> dataset = FileDataset( + ... filepath=tmp_path / "test.csv", + ... file_format="csv", + ... table_name="test", + ... connection={"backend": "duckdb", "database": tmp_path / "file.db"}, + ... ) + >>> dataset.save(data) + >>> reloaded = dataset.load() + >>> assert data.execute().equals(reloaded.execute()) + + """ + + DEFAULT_LOAD_ARGS: ClassVar[dict[str, Any]] = {} + DEFAULT_SAVE_ARGS: ClassVar[dict[str, Any]] = {} + + _connections: ClassVar[dict[tuple[tuple[str, str]], BaseBackend]] = {} + + def __init__( # noqa: PLR0913 + self, + filepath: str, + file_format: str = "parquet", + *, + table_name: str | None = None, + connection: dict[str, Any] | None = None, + load_args: dict[str, Any] | None = None, + save_args: dict[str, Any] | None = None, + version: Version | None = None, + metadata: dict[str, Any] | None = None, + ) -> None: + """Creates a new ``FileDataset`` pointing to the given filepath. + + ``FileDataset`` connects to the Ibis backend object constructed + from the connection configuration. The `backend` key provided in + the config can be any of the `supported backends `_. The remaining dictionary entries will be + passed as arguments to the underlying ``connect()`` method (e.g. + `ibis.duckdb.connect() `_). + + The read method corresponding to the given ``file_format`` (e.g. + `read_csv() `_) is used to load + the file with the backend. Note that only the data is loaded; no + link to the underlying file exists past ``FileDataset.load()``. + + Args: + filepath: Path to a file to register as a table. Most useful + for loading data into your data warehouse (for testing). + On save, the backend exports data to the specified path. + file_format: String specifying the file format for the file. + Defaults to writing execution results to a Parquet file. + table_name: The name to use for the created table (on load). + connection: Configuration for connecting to an Ibis backend. + load_args: Additional arguments passed to the Ibis backend's + `read_{file_format}` method. + save_args: Additional arguments passed to the Ibis backend's + `to_{file_format}` method. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + metadata: Any arbitrary metadata. This is ignored by Kedro, + but may be consumed by users or external plugins. + """ + self._file_format = file_format + self._table_name = table_name + self._connection_config = connection + self.metadata = metadata + + super().__init__( + filepath=PurePosixPath(filepath), + version=version, + exists_function=lambda filepath: Path(filepath).exists(), + ) + + # Set load and save arguments, overwriting defaults if provided. + self._load_args = deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + + self._save_args = deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) + + @property + def connection(self) -> BaseBackend: + """The ``Backend`` instance for the connection configuration.""" + + def hashable(value): + """Return a hashable key for a potentially-nested object.""" + if isinstance(value, dict): + return tuple((k, hashable(v)) for k, v in sorted(value.items())) + if isinstance(value, list): + return tuple(hashable(x) for x in value) + return value + + cls = type(self) + key = hashable(self._connection_config) + if key not in cls._connections: + import ibis + + config = deepcopy(self._connection_config) + backend_attr = config.pop("backend") if config else None + backend = getattr(ibis, backend_attr) + cls._connections[key] = backend.connect(**config) + + return cls._connections[key] + + def load(self) -> ir.Table: + load_path = self._get_load_path() + reader = getattr(self.connection, f"read_{self._file_format}") + return reader(load_path, self._table_name, **self._load_args) + + def save(self, data: ir.Table) -> None: + save_path = self._get_save_path() + Path(save_path).parent.mkdir(parents=True, exist_ok=True) + writer = getattr(self.connection, f"to_{self._file_format}") + writer(data, save_path, **self._save_args) + + def _describe(self) -> dict[str, Any]: + return { + "filepath": self._filepath, + "file_format": self._file_format, + "table_name": self._table_name, + "backend": self._connection_config.get("backend") + if self._connection_config + else None, + "load_args": self._load_args, + "save_args": self._save_args, + "version": self._version, + } + + def _exists(self) -> bool: + try: + load_path = self._get_load_path() + except DatasetError: + return False + + return Path(load_path).exists() diff --git a/kedro-datasets/kedro_datasets/ibis/table_dataset.py b/kedro-datasets/kedro_datasets/ibis/table_dataset.py index cf92736cd..7550e6266 100644 --- a/kedro-datasets/kedro_datasets/ibis/table_dataset.py +++ b/kedro-datasets/kedro_datasets/ibis/table_dataset.py @@ -1,12 +1,15 @@ """Provide data loading and saving functionality for Ibis's backends.""" from __future__ import annotations +import warnings from copy import deepcopy from typing import TYPE_CHECKING, Any, ClassVar import ibis.expr.types as ir from kedro.io import AbstractDataset, DatasetError +from kedro_datasets import KedroDeprecationWarning + if TYPE_CHECKING: from ibis import BaseBackend @@ -21,15 +24,10 @@ class TableDataset(AbstractDataset[ir.Table, ir.Table]): cars: type: ibis.TableDataset - filepath: data/01_raw/company/cars.csv - file_format: csv table_name: cars connection: backend: duckdb database: company.db - load_args: - sep: "," - nullstr: "#NA" save_args: materialized: table @@ -91,12 +89,6 @@ def __init__( # noqa: PLR0913 `ibis.duckdb.connect() `_). - If ``filepath`` and ``file_format`` are given, the corresponding - read method (e.g. `read_csv() `_) is used to load - the file with the backend. Note that only the data is loaded; no - link to the underlying file exists past ``TableDataset.load()``. - If ``table_name`` is given (and ``filepath`` isn't), the dataset establishes a connection to the relevant table for the execution backend. Therefore, Ibis doesn't fetch data on load; all compute @@ -105,9 +97,6 @@ def __init__( # noqa: PLR0913 is saved, after running code defined across one more more nodes. Args: - filepath: Path to a file to register as a table. Most useful - for loading data into your data warehouse (for testing). - file_format: Specifies the input file format for `filepath`. table_name: The name of the table or view to read or create. connection: Configuration for connecting to an Ibis backend. load_args: Additional arguments passed to the Ibis backend's @@ -125,6 +114,15 @@ def __init__( # noqa: PLR0913 "Must provide at least one of `filepath` or `table_name`." ) + if filepath is not None or file_format is not None: + warnings.warn( + "Use 'FileDataset' to load and save files with an Ibis " + "backend; the functionality will be removed from 'Table" + "Dataset' in Kedro-Datasets 6.0.0", + KedroDeprecationWarning, + stacklevel=2, + ) + self._filepath = filepath self._file_format = file_format self._table_name = table_name @@ -144,7 +142,10 @@ def __init__( # noqa: PLR0913 @property def connection(self) -> BaseBackend: + """The ``Backend`` instance for the connection configuration.""" + def hashable(value): + """Return a hashable key for a potentially-nested object.""" if isinstance(value, dict): return tuple((k, hashable(v)) for k, v in sorted(value.items())) if isinstance(value, list): diff --git a/kedro-datasets/tests/ibis/test_file_dataset.py b/kedro-datasets/tests/ibis/test_file_dataset.py new file mode 100644 index 000000000..e598bffff --- /dev/null +++ b/kedro-datasets/tests/ibis/test_file_dataset.py @@ -0,0 +1,274 @@ +import sys +from pathlib import Path +from time import sleep + +import ibis +import pytest +from kedro.io import DatasetError, Version +from kedro.io.core import generate_timestamp +from pandas.testing import assert_frame_equal + +from kedro_datasets.ibis import FileDataset + + +@pytest.fixture +def filepath_csv(tmp_path): + return (tmp_path / "test.csv").as_posix() + + +@pytest.fixture +def database(tmp_path): + return (tmp_path / "file.db").as_posix() + + +@pytest.fixture(params=[None]) +def connection_config(request, database): + return request.param or {"backend": "duckdb", "database": database} + + +@pytest.fixture +def file_dataset(filepath_csv, connection_config, load_args, save_args): + return FileDataset( + filepath=filepath_csv, + file_format="csv", + connection=connection_config, + load_args=load_args, + save_args=save_args, + ) + + +@pytest.fixture +def versioned_file_dataset(filepath_csv, connection_config, load_version, save_version): + return FileDataset( + filepath=filepath_csv, + file_format="csv", + connection=connection_config, + version=Version(load_version, save_version), + ) + + +@pytest.fixture +def dummy_table(): + return ibis.memtable({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + +class TestFileDataset: + def test_save_and_load(self, file_dataset, dummy_table, database): + """Test saving and reloading the data set.""" + file_dataset.save(dummy_table) + reloaded = file_dataset.load() + assert_frame_equal(dummy_table.execute(), reloaded.execute()) + + @pytest.mark.parametrize("load_args", [{"filename": True}], indirect=True) + def test_load_extra_params(self, file_dataset, load_args, dummy_table): + """Test overriding the default load arguments.""" + file_dataset.save(dummy_table) + assert "filename" in file_dataset.load() + + @pytest.mark.parametrize("save_args", [{"sep": "|"}], indirect=True) + def test_save_extra_params( + self, file_dataset, save_args, dummy_table, filepath_csv + ): + """Test overriding the default save arguments.""" + file_dataset.save(dummy_table) + + # Verify that the delimiter character from `save_args` was used. + with open(filepath_csv) as f: + for line in f: + assert save_args["sep"] in line + + @pytest.mark.parametrize( + ("connection_config", "key"), + [ + ( + {"backend": "duckdb", "database": "file.db", "extensions": ["spatial"]}, + ( + ("backend", "duckdb"), + ("database", "file.db"), + ("extensions", ("spatial",)), + ), + ), + # https://github.com/kedro-org/kedro-plugins/pull/560#discussion_r1536083525 + ( + { + "host": "xxx.sql.azuresynapse.net", + "database": "xxx", + "query": {"driver": "ODBC Driver 17 for SQL Server"}, + "backend": "mssql", + }, + ( + ("backend", "mssql"), + ("database", "xxx"), + ("host", "xxx.sql.azuresynapse.net"), + ("query", (("driver", "ODBC Driver 17 for SQL Server"),)), + ), + ), + ], + indirect=["connection_config"], + ) + def test_connection_config(self, mocker, file_dataset, connection_config, key): + """Test hashing of more complicated connection configuration.""" + mocker.patch(f"ibis.{connection_config['backend']}") + file_dataset.load() + assert key in file_dataset._connections + + +class TestFileDatasetVersioned: + def test_version_str_repr(self, connection_config, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.csv" + ds = FileDataset( + filepath=filepath, file_format="csv", connection=connection_config + ) + ds_versioned = FileDataset( + filepath=filepath, + file_format="csv", + connection=connection_config, + version=Version(load_version, save_version), + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = f"version=Version(load={load_version}, save='{save_version}')" + assert ver_str in str(ds_versioned) + assert "FileDataset" in str(ds_versioned) + assert "FileDataset" in str(ds) + # Default save_args + assert "save_args={}" in str(ds) + assert "save_args={}" in str(ds_versioned) + + def test_save_and_load(self, versioned_file_dataset, dummy_table): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_file_dataset.save(dummy_table) + reloaded = versioned_file_dataset.load() + assert_frame_equal(dummy_table.execute(), reloaded.execute()) + + def test_multiple_loads( + self, versioned_file_dataset, dummy_table, filepath_csv, connection_config + ): + """Test that if a new version is created mid-run, by an + external system, it won't be loaded in the current run.""" + versioned_file_dataset.save(dummy_table) + versioned_file_dataset.load() + v1 = versioned_file_dataset.resolve_load_version() + + sleep(0.5) + # force-drop a newer version into the same location + v_new = generate_timestamp() + FileDataset( + filepath=filepath_csv, + file_format="csv", + connection=connection_config, + version=Version(v_new, v_new), + ).save(dummy_table) + + versioned_file_dataset.load() + v2 = versioned_file_dataset.resolve_load_version() + + assert v2 == v1 # v2 should not be v_new! + ds_new = FileDataset( + filepath=filepath_csv, + file_format="csv", + connection=connection_config, + version=Version(None, None), + ) + assert ( + ds_new.resolve_load_version() == v_new + ) # new version is discoverable by a new instance + + def test_multiple_saves(self, dummy_table, filepath_csv, connection_config): + """Test multiple cycles of save followed by load for the same dataset""" + ds_versioned = FileDataset( + filepath=filepath_csv, + file_format="csv", + connection=connection_config, + version=Version(None, None), + ) + + # first save + ds_versioned.save(dummy_table) + first_save_version = ds_versioned.resolve_save_version() + first_load_version = ds_versioned.resolve_load_version() + assert first_load_version == first_save_version + + # second save + sleep(0.5) + ds_versioned.save(dummy_table) + second_save_version = ds_versioned.resolve_save_version() + second_load_version = ds_versioned.resolve_load_version() + assert second_load_version == second_save_version + assert second_load_version > first_load_version + + # another dataset + ds_new = FileDataset( + filepath=filepath_csv, + file_format="csv", + connection=connection_config, + version=Version(None, None), + ) + assert ds_new.resolve_load_version() == second_load_version + + def test_no_versions(self, versioned_file_dataset): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for FileDataset\(.+\)" + with pytest.raises(DatasetError, match=pattern): + versioned_file_dataset.load() + + def test_exists(self, versioned_file_dataset, dummy_table): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_file_dataset.exists() + versioned_file_dataset.save(dummy_table) + assert versioned_file_dataset.exists() + + def test_prevent_overwrite(self, versioned_file_dataset, dummy_table): + """Check the error when attempting to override the data set if the + corresponding CSV file for a given save version already exists.""" + versioned_file_dataset.save(dummy_table) + pattern = ( + r"Save path \'.+\' for FileDataset\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DatasetError, match=pattern): + versioned_file_dataset.save(dummy_table) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_file_dataset, load_version, save_version, dummy_table + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + rf"Save version '{save_version}' did not match load version " + rf"'{load_version}' for FileDataset\(.+\)" + ) + with pytest.warns(UserWarning, match=pattern): + versioned_file_dataset.save(dummy_table) + + @pytest.mark.skipif(sys.platform == "win32", reason="different error on windows") + def test_versioning_existing_dataset( + self, file_dataset, versioned_file_dataset, dummy_table + ): + """Check the error when attempting to save a versioned dataset on top of an + already existing (non-versioned) dataset.""" + file_dataset.save(dummy_table) + assert file_dataset.exists() + assert file_dataset._filepath == versioned_file_dataset._filepath + pattern = ( + f"(?=.*file with the same name already exists in the directory)" + f"(?=.*{versioned_file_dataset._filepath.parent.as_posix()})" + ) + with pytest.raises(DatasetError, match=pattern): + versioned_file_dataset.save(dummy_table) + + # Remove non-versioned dataset and try again + Path(file_dataset._filepath.as_posix()).unlink() + versioned_file_dataset.save(dummy_table) + assert versioned_file_dataset.exists() From fce2974c4dfb8d3f32bf7c641a0e17dd11d7f783 Mon Sep 17 00:00:00 2001 From: Ankita Katiyar <110245118+ankatiyar@users.noreply.github.com> Date: Mon, 14 Oct 2024 17:18:49 +0100 Subject: [PATCH 11/88] ci(docker): Update error code in e2e test (#888) Update error code in e2e test Signed-off-by: Ankita Katiyar Signed-off-by: tdhooghe --- kedro-docker/features/docker.feature | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/kedro-docker/features/docker.feature b/kedro-docker/features/docker.feature index f3682fd30..2d54de7f3 100644 --- a/kedro-docker/features/docker.feature +++ b/kedro-docker/features/docker.feature @@ -100,7 +100,7 @@ Feature: Docker commands in new projects Scenario: Execute docker run target without building image When I execute the kedro command "docker run" - Then I should get a successful exit code + Then I should get an error exit code And Standard output should contain a message including "Error: Unable to find image `project-dummy` locally." Scenario: Execute docker dive target @@ -118,5 +118,5 @@ Feature: Docker commands in new projects Scenario: Execute docker dive without building image When I execute the kedro command "docker dive" - Then I should get a successful exit code + Then I should get an error exit code And Standard output should contain a message including "Error: Unable to find image `project-dummy` locally." From 60b4a869d257086886573c3bb83024946e88f4f9 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 15 Oct 2024 11:01:03 +0200 Subject: [PATCH 12/88] update docstring Signed-off-by: tdhooghe --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 6bef7a9cb..e3790ed85 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -15,7 +15,7 @@ class SnowparkTableDataset(AbstractDataset): """``SnowparkTableDataset`` loads and saves Snowpark dataframes. - As of Mar-2023, the snowpark connector only works with Python 3.8. + As of Oct-2023, the snowpark connector only works with Python 3.11. Example usage for the `YAML API Date: Tue, 15 Oct 2024 14:34:18 +0200 Subject: [PATCH 13/88] test ci/cd without python version 3.12 Signed-off-by: tdhooghe --- .github/workflows/kedro-datasets.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/kedro-datasets.yml b/.github/workflows/kedro-datasets.yml index d5aae0282..aa5cb20f3 100644 --- a/.github/workflows/kedro-datasets.yml +++ b/.github/workflows/kedro-datasets.yml @@ -22,7 +22,7 @@ jobs: strategy: matrix: os: [ ubuntu-latest, windows-latest ] - python-version: [ "3.10", "3.11", "3.12" ] + python-version: [ "3.10", "3.11"] uses: ./.github/workflows/unit-tests.yml with: plugin: kedro-datasets From a161191bee3dbf7b5a8ad95134a3a8b11d41897d Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 15 Oct 2024 14:59:41 +0200 Subject: [PATCH 14/88] fix linting error Signed-off-by: tdhooghe --- .../kedro_datasets/snowflake/snowpark_dataset.py | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index e3790ed85..7a4a6d800 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -26,7 +26,7 @@ class SnowparkTableDataset(AbstractDataset): weather: type: kedro_datasets.snowflake.SnowparkTableDataset table_name: "weather_data" - database: "meteorology" + databasereak: "meteorology" schema: "observations" credentials: db_credentials save_args: @@ -224,11 +224,7 @@ def save(self, data: sp.DataFrame) -> None: if isinstance(data, pd.DataFrame): data = data.to_pandas() - table_name = [ - self._database, - self._schema, - self._table_name, - ] + table_name = ".".join([self._database, self._schema, self._table_name]) data.write.save_as_table(table_name, **self._save_args) def _exists(self) -> bool: From e4509bcb283d62ff359f82df4ad968ae6fdf49da Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 16 Oct 2024 18:26:44 +0200 Subject: [PATCH 15/88] add max python version for compatibility Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index d333723d7..fb4758497 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -138,7 +138,7 @@ polars = [ redis-pickledataset = ["redis~=4.1"] redis = ["kedro-datasets[redis-pickledataset]"] -snowflake-snowparktabledataset = ["snowflake-snowpark-python~=1.23"] +snowflake-snowparktabledataset = ["snowflake-snowpark-python~=1.23; python_version < '3.12'"] snowflake = ["kedro-datasets[snowflake-snowparktabledataset]"] spark-deltatabledataset = ["kedro-datasets[spark-base,hdfs-base,s3fs-base,delta-base]"] From c98aef8c3f7c437e47c4808ad887f9cc70c539ff Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Fri, 18 Oct 2024 00:20:14 +0200 Subject: [PATCH 16/88] fix error Signed-off-by: tdhooghe --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 7a4a6d800..61e9e115a 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -3,7 +3,7 @@ from __future__ import annotations import logging -from typing import Any +from typing import Any, Union import pandas as pd import snowflake.snowpark as sp @@ -220,9 +220,9 @@ def load(self) -> sp.DataFrame: sp_df = self._session.table(".".join(table_name)) return sp_df - def save(self, data: sp.DataFrame) -> None: + def save(self, data: Union[pd.DataFrame, sp.DataFrame) -> None: if isinstance(data, pd.DataFrame): - data = data.to_pandas() + data = self._session.create_dataframe(data) table_name = ".".join([self._database, self._schema, self._table_name]) data.write.save_as_table(table_name, **self._save_args) From e4f1c3c3bc539120124cf180799e0dd18e7fc8db Mon Sep 17 00:00:00 2001 From: Merel Theisen <49397448+merelcht@users.noreply.github.com> Date: Tue, 15 Oct 2024 14:52:25 +0100 Subject: [PATCH 17/88] chore: Update PR template with checkbox for core dataset contribution (#891) * Update PR template with checkbox for core dataset contribution Signed-off-by: Merel Theisen * Update .github/PULL_REQUEST_TEMPLATE.md Co-authored-by: Deepyaman Datta Signed-off-by: Merel Theisen <49397448+merelcht@users.noreply.github.com> * Fix lint Signed-off-by: Merel Theisen --------- Signed-off-by: Merel Theisen Signed-off-by: Merel Theisen <49397448+merelcht@users.noreply.github.com> Co-authored-by: Deepyaman Datta Signed-off-by: tdhooghe --- .github/PULL_REQUEST_TEMPLATE.md | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index 7faf3e035..6723cb70f 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -10,3 +10,4 @@ - [ ] Updated the documentation to reflect the code changes - [ ] Added a description of this change in the relevant `RELEASE.md` file - [ ] Added tests to cover my changes +- [ ] Received approvals from at least half of the TSC (required for adding a new, non-experimental dataset) From bcec735dc772c2b53ba11698b693ecdff6eb2fb9 Mon Sep 17 00:00:00 2001 From: Ankita Katiyar <110245118+ankatiyar@users.noreply.github.com> Date: Thu, 17 Oct 2024 11:55:31 +0100 Subject: [PATCH 18/88] ci(datasets): Fix mypy errors (#893) Signed-off-by: tdhooghe --- kedro-datasets/CONTRIBUTING.md | 2 +- kedro-datasets/README.md | 2 +- kedro-datasets/kedro_datasets/ibis/file_dataset.py | 2 +- kedro-datasets/kedro_datasets/ibis/table_dataset.py | 2 +- kedro-datasets/kedro_datasets/spark/spark_streaming_dataset.py | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/kedro-datasets/CONTRIBUTING.md b/kedro-datasets/CONTRIBUTING.md index 41454f598..8ef5ae52c 100644 --- a/kedro-datasets/CONTRIBUTING.md +++ b/kedro-datasets/CONTRIBUTING.md @@ -89,7 +89,7 @@ def count_truthy(elements: List[Any]) -> int: return sum(1 for elem in elements if elem) ``` -> *Note:* We only accept contributions under the [Apache 2.0](https://opensource.org/licenses/Apache-2.0) license, and you should have permission to share the submitted code. +> *Note:* We only accept contributions under the [Apache 2.0](https://github.com/kedro-org/kedro-plugins/blob/main/LICENSE.md) license, and you should have permission to share the submitted code. ### Branching conventions diff --git a/kedro-datasets/README.md b/kedro-datasets/README.md index aa4531e5b..d84b2bf7f 100644 --- a/kedro-datasets/README.md +++ b/kedro-datasets/README.md @@ -2,7 +2,7 @@ -[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) +[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/kedro-org/kedro-plugins/blob/main/LICENSE.md) [![Python Version](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12-blue.svg)](https://pypi.org/project/kedro-datasets/) [![PyPI Version](https://badge.fury.io/py/kedro-datasets.svg)](https://pypi.org/project/kedro-datasets/) [![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black) diff --git a/kedro-datasets/kedro_datasets/ibis/file_dataset.py b/kedro-datasets/kedro_datasets/ibis/file_dataset.py index 11b58bc32..8dc98b4ad 100644 --- a/kedro-datasets/kedro_datasets/ibis/file_dataset.py +++ b/kedro-datasets/kedro_datasets/ibis/file_dataset.py @@ -157,7 +157,7 @@ def hashable(value): config = deepcopy(self._connection_config) backend_attr = config.pop("backend") if config else None - backend = getattr(ibis, backend_attr) + backend = getattr(ibis, str(backend_attr)) cls._connections[key] = backend.connect(**config) return cls._connections[key] diff --git a/kedro-datasets/kedro_datasets/ibis/table_dataset.py b/kedro-datasets/kedro_datasets/ibis/table_dataset.py index 7550e6266..a5744dd22 100644 --- a/kedro-datasets/kedro_datasets/ibis/table_dataset.py +++ b/kedro-datasets/kedro_datasets/ibis/table_dataset.py @@ -159,7 +159,7 @@ def hashable(value): config = deepcopy(self._connection_config) backend_attr = config.pop("backend") if config else None - backend = getattr(ibis, backend_attr) + backend = getattr(ibis, str(backend_attr)) cls._connections[key] = backend.connect(**config) return cls._connections[key] diff --git a/kedro-datasets/kedro_datasets/spark/spark_streaming_dataset.py b/kedro-datasets/kedro_datasets/spark/spark_streaming_dataset.py index b1effc278..294ea35cb 100644 --- a/kedro-datasets/kedro_datasets/spark/spark_streaming_dataset.py +++ b/kedro-datasets/kedro_datasets/spark/spark_streaming_dataset.py @@ -136,7 +136,7 @@ def save(self, data: DataFrame) -> None: ( output_constructor.option("checkpointLocation", checkpoint) .option("path", save_path) - .outputMode(output_mode) + .outputMode(str(output_mode)) .options(**self._save_args or {}) .start() ) From c243c6e3bef911cd975f188baa5330f9ba51e7c7 Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Fri, 18 Oct 2024 07:58:51 -0600 Subject: [PATCH 19/88] fix(datasets): default to DuckDB in in-memory mode (#897) * fix(datasets): default to DuckDB in in-memory mode Signed-off-by: Deepyaman Datta * test(datasets): use `object()` sentinel as default Signed-off-by: Deepyaman Datta * docs(datasets): add default database to RELEASE.md Signed-off-by: Deepyaman Datta --------- Signed-off-by: Deepyaman Datta Signed-off-by: tdhooghe --- kedro-datasets/RELEASE.md | 10 +++++--- .../kedro_datasets/ibis/file_dataset.py | 14 ++++++----- .../kedro_datasets/ibis/table_dataset.py | 14 ++++++----- .../tests/ibis/test_file_dataset.py | 23 ++++++++++++++++--- .../tests/ibis/test_table_dataset.py | 23 ++++++++++++++++--- 5 files changed, 63 insertions(+), 21 deletions(-) diff --git a/kedro-datasets/RELEASE.md b/kedro-datasets/RELEASE.md index d90898153..d1ae36585 100755 --- a/kedro-datasets/RELEASE.md +++ b/kedro-datasets/RELEASE.md @@ -4,9 +4,13 @@ - Added the following new core datasets: -| Type | Description | Location | -| ------------------- | ------------------------------------------------------------- | --------------------- | -| `ibis.TableDataset` | A dataset for loading and saving files using Ibis's backends. | `kedro_datasets.ibis` | +| Type | Description | Location | +| ------------------ | ------------------------------------------------------------- | --------------------- | +| `ibis.FileDataset` | A dataset for loading and saving files using Ibis's backends. | `kedro_datasets.ibis` | + +## Bug fixes and other changes + +- Changed Ibis datasets to connect to an in-memory DuckDB database if connection configuration is not provided. # Release 5.0.0 diff --git a/kedro-datasets/kedro_datasets/ibis/file_dataset.py b/kedro-datasets/kedro_datasets/ibis/file_dataset.py index 8dc98b4ad..f204e297b 100644 --- a/kedro-datasets/kedro_datasets/ibis/file_dataset.py +++ b/kedro-datasets/kedro_datasets/ibis/file_dataset.py @@ -66,6 +66,10 @@ class FileDataset(AbstractVersionedDataset[ir.Table, ir.Table]): """ + DEFAULT_CONNECTION_CONFIG: ClassVar[dict[str, Any]] = { + "backend": "duckdb", + "database": ":memory:", + } DEFAULT_LOAD_ARGS: ClassVar[dict[str, Any]] = {} DEFAULT_SAVE_ARGS: ClassVar[dict[str, Any]] = {} @@ -107,6 +111,7 @@ def __init__( # noqa: PLR0913 Defaults to writing execution results to a Parquet file. table_name: The name to use for the created table (on load). connection: Configuration for connecting to an Ibis backend. + If not provided, connect to DuckDB in in-memory mode. load_args: Additional arguments passed to the Ibis backend's `read_{file_format}` method. save_args: Additional arguments passed to the Ibis backend's @@ -120,7 +125,7 @@ def __init__( # noqa: PLR0913 """ self._file_format = file_format self._table_name = table_name - self._connection_config = connection + self._connection_config = connection or self.DEFAULT_CONNECTION_CONFIG self.metadata = metadata super().__init__( @@ -156,8 +161,7 @@ def hashable(value): import ibis config = deepcopy(self._connection_config) - backend_attr = config.pop("backend") if config else None - backend = getattr(ibis, str(backend_attr)) + backend = getattr(ibis, config.pop("backend")) cls._connections[key] = backend.connect(**config) return cls._connections[key] @@ -178,9 +182,7 @@ def _describe(self) -> dict[str, Any]: "filepath": self._filepath, "file_format": self._file_format, "table_name": self._table_name, - "backend": self._connection_config.get("backend") - if self._connection_config - else None, + "backend": self._connection_config["backend"], "load_args": self._load_args, "save_args": self._save_args, "version": self._version, diff --git a/kedro-datasets/kedro_datasets/ibis/table_dataset.py b/kedro-datasets/kedro_datasets/ibis/table_dataset.py index a5744dd22..30709d08e 100644 --- a/kedro-datasets/kedro_datasets/ibis/table_dataset.py +++ b/kedro-datasets/kedro_datasets/ibis/table_dataset.py @@ -60,6 +60,10 @@ class TableDataset(AbstractDataset[ir.Table, ir.Table]): """ + DEFAULT_CONNECTION_CONFIG: ClassVar[dict[str, Any]] = { + "backend": "duckdb", + "database": ":memory:", + } DEFAULT_LOAD_ARGS: ClassVar[dict[str, Any]] = {} DEFAULT_SAVE_ARGS: ClassVar[dict[str, Any]] = { "materialized": "view", @@ -99,6 +103,7 @@ def __init__( # noqa: PLR0913 Args: table_name: The name of the table or view to read or create. connection: Configuration for connecting to an Ibis backend. + If not provided, connect to DuckDB in in-memory mode. load_args: Additional arguments passed to the Ibis backend's `read_{file_format}` method. save_args: Additional arguments passed to the Ibis backend's @@ -126,7 +131,7 @@ def __init__( # noqa: PLR0913 self._filepath = filepath self._file_format = file_format self._table_name = table_name - self._connection_config = connection + self._connection_config = connection or self.DEFAULT_CONNECTION_CONFIG self.metadata = metadata # Set load and save arguments, overwriting defaults if provided. @@ -158,8 +163,7 @@ def hashable(value): import ibis config = deepcopy(self._connection_config) - backend_attr = config.pop("backend") if config else None - backend = getattr(ibis, str(backend_attr)) + backend = getattr(ibis, config.pop("backend")) cls._connections[key] = backend.connect(**config) return cls._connections[key] @@ -186,9 +190,7 @@ def _describe(self) -> dict[str, Any]: "filepath": self._filepath, "file_format": self._file_format, "table_name": self._table_name, - "backend": self._connection_config.get("backend") - if self._connection_config - else None, + "backend": self._connection_config["backend"], "load_args": self._load_args, "save_args": self._save_args, "materialized": self._materialized, diff --git a/kedro-datasets/tests/ibis/test_file_dataset.py b/kedro-datasets/tests/ibis/test_file_dataset.py index e598bffff..c21a06466 100644 --- a/kedro-datasets/tests/ibis/test_file_dataset.py +++ b/kedro-datasets/tests/ibis/test_file_dataset.py @@ -10,6 +10,8 @@ from kedro_datasets.ibis import FileDataset +_SENTINEL = object() + @pytest.fixture def filepath_csv(tmp_path): @@ -21,9 +23,13 @@ def database(tmp_path): return (tmp_path / "file.db").as_posix() -@pytest.fixture(params=[None]) +@pytest.fixture(params=[_SENTINEL]) def connection_config(request, database): - return request.param or {"backend": "duckdb", "database": database} + return ( + {"backend": "duckdb", "database": database} + if request.param is _SENTINEL # `None` is a valid value to test + else request.param + ) @pytest.fixture @@ -103,12 +109,23 @@ def test_save_extra_params( ("query", (("driver", "ODBC Driver 17 for SQL Server"),)), ), ), + # https://github.com/kedro-org/kedro-plugins/pull/893#discussion_r1804632435 + ( + None, + ( + ("backend", "duckdb"), + ("database", ":memory:"), + ), + ), ], indirect=["connection_config"], ) def test_connection_config(self, mocker, file_dataset, connection_config, key): """Test hashing of more complicated connection configuration.""" - mocker.patch(f"ibis.{connection_config['backend']}") + backend = ( + connection_config["backend"] if connection_config is not None else "duckdb" + ) + mocker.patch(f"ibis.{backend}") file_dataset.load() assert key in file_dataset._connections diff --git a/kedro-datasets/tests/ibis/test_table_dataset.py b/kedro-datasets/tests/ibis/test_table_dataset.py index 644bbc127..a778b08e0 100644 --- a/kedro-datasets/tests/ibis/test_table_dataset.py +++ b/kedro-datasets/tests/ibis/test_table_dataset.py @@ -6,6 +6,8 @@ from kedro_datasets.ibis import TableDataset +_SENTINEL = object() + @pytest.fixture(scope="session") def filepath_csv(tmp_path_factory): @@ -19,9 +21,13 @@ def database(tmp_path): return (tmp_path / "file.db").as_posix() -@pytest.fixture(params=[None]) +@pytest.fixture(params=[_SENTINEL]) def connection_config(request, database): - return request.param or {"backend": "duckdb", "database": database} + return ( + {"backend": "duckdb", "database": database} + if request.param is _SENTINEL # `None` is a valid value to test + else request.param + ) @pytest.fixture @@ -122,11 +128,22 @@ def test_save_no_table_name(self, table_dataset_from_csv, dummy_table): ("query", (("driver", "ODBC Driver 17 for SQL Server"),)), ), ), + # https://github.com/kedro-org/kedro-plugins/pull/893#discussion_r1804632435 + ( + None, + ( + ("backend", "duckdb"), + ("database", ":memory:"), + ), + ), ], indirect=["connection_config"], ) def test_connection_config(self, mocker, table_dataset, connection_config, key): """Test hashing of more complicated connection configuration.""" - mocker.patch(f"ibis.{connection_config['backend']}") + backend = ( + connection_config["backend"] if connection_config is not None else "duckdb" + ) + mocker.patch(f"ibis.{backend}") table_dataset.load() assert key in table_dataset._connections From 388f45546cfd3d1a1ca8f25c2f8a2ca7351e0183 Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Fri, 18 Oct 2024 08:23:55 -0600 Subject: [PATCH 20/88] build(datasets): make Kedro-Datasets 5.1.0 release (#887) Signed-off-by: Deepyaman Datta Signed-off-by: tdhooghe --- kedro-datasets/RELEASE.md | 2 ++ kedro-datasets/kedro_datasets/__init__.py | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/kedro-datasets/RELEASE.md b/kedro-datasets/RELEASE.md index d1ae36585..4d63d8a25 100755 --- a/kedro-datasets/RELEASE.md +++ b/kedro-datasets/RELEASE.md @@ -1,5 +1,7 @@ # Upcoming Release +# Release 5.1.0 + ## Major features and improvements - Added the following new core datasets: diff --git a/kedro-datasets/kedro_datasets/__init__.py b/kedro-datasets/kedro_datasets/__init__.py index 61425b9d2..44692e803 100644 --- a/kedro-datasets/kedro_datasets/__init__.py +++ b/kedro-datasets/kedro_datasets/__init__.py @@ -1,7 +1,7 @@ """``kedro_datasets`` is where you can find all of Kedro's data connectors.""" __all__ = ["KedroDeprecationWarning"] -__version__ = "5.0.0" +__version__ = "5.1.0" import sys import warnings From 3c85b1f3815451a42d6490bbd018da742766916c Mon Sep 17 00:00:00 2001 From: Merel Theisen <49397448+merelcht@users.noreply.github.com> Date: Fri, 18 Oct 2024 16:19:11 +0100 Subject: [PATCH 21/88] ci: Add GH action to check for TSC votes on core dataset changes (#896) * Add GH action to check for TSC votes on core dataset changes * Ignore TSC vote action in gatekeeper * Trigger TSC vote action only on changes in core dataset --------- Signed-off-by: Merel Theisen Signed-off-by: tdhooghe --- .github/reviewers.json | 36 ++++++++++++++++++++++++++ .github/workflows/check-tsc-vote.yml | 14 ++++++++++ .github/workflows/merge-gatekeeper.yml | 1 + 3 files changed, 51 insertions(+) create mode 100644 .github/reviewers.json create mode 100644 .github/workflows/check-tsc-vote.yml diff --git a/.github/reviewers.json b/.github/reviewers.json new file mode 100644 index 000000000..5a0b265b8 --- /dev/null +++ b/.github/reviewers.json @@ -0,0 +1,36 @@ +{ + "teams": { + "everyone": { + "description": "A team that contains all TSC members.", + "users": [ + "ankatiyar", + "astrojuanlu", + "datajoely", + "deepyaman", + "DimedS", + "Galileo-Galilei", + "Huongg", + "idanov", + "jitu5", + "lrcouto", + "marrrcin", + "merelcht", + "noklam", + "rashidakanchwala", + "ravi-kumar-pilla", + "SajidAlamQB", + "sbrugman", + "stephkaiser", + "tynandebold", + "yetudada" + ] + } + }, + "reviewers": { + "kedro-datasets/kedro_datasets/": { + "description": "Require at least 1/2 TSC approval on new core dataset contributions.", + "teams": ["everyone"], + "requiredApproverCount": 10 + } + } +} diff --git a/.github/workflows/check-tsc-vote.yml b/.github/workflows/check-tsc-vote.yml new file mode 100644 index 000000000..2cc742023 --- /dev/null +++ b/.github/workflows/check-tsc-vote.yml @@ -0,0 +1,14 @@ +name: Required Reviews +on: + pull_request: + paths: + - 'kedro-datasets/kedro_datasets/*' +jobs: + required-reviews: + name: Required Reviews + runs-on: ubuntu-latest + steps: + - name: required-reviewers + uses: theoremlp/required-reviews@v2 + with: + github-token: ${{ secrets.GITHUB_TOKEN }} diff --git a/.github/workflows/merge-gatekeeper.yml b/.github/workflows/merge-gatekeeper.yml index 77ad752de..ac5473240 100644 --- a/.github/workflows/merge-gatekeeper.yml +++ b/.github/workflows/merge-gatekeeper.yml @@ -24,3 +24,4 @@ jobs: token: ${{ secrets.GITHUB_TOKEN }} timeout: 2400 interval: 30 + ignored: 'Required Reviews' From 101696c953490a172b2dee643022f67787b1866e Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 16:32:19 +0200 Subject: [PATCH 22/88] update testing framework and docstrings Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 67 ++-- kedro-datasets/tests/snowflake/conftest.py | 25 -- .../tests/snowflake/test_snowpark_dataset.py | 314 +++++++++--------- 3 files changed, 205 insertions(+), 201 deletions(-) delete mode 100644 kedro-datasets/tests/snowflake/conftest.py diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 61e9e115a..a8cb36d59 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -3,7 +3,7 @@ from __future__ import annotations import logging -from typing import Any, Union +from typing import Any import pandas as pd import snowflake.snowpark as sp @@ -111,9 +111,11 @@ def __init__( # noqa: PLR0913 load_args: dict[str, Any] | None = None, save_args: dict[str, Any] | None = None, credentials: dict[str, Any] | None = None, + session: sp.Session | None = None, metadata: dict[str, Any] | None = None, ) -> None: - """Creates a new instance of ``SnowparkTableDataset``. + """ + Creates a new instance of ``SnowparkTableDataset``. Args: table_name: The table name to load or save data to. @@ -162,6 +164,7 @@ def __init__( # noqa: PLR0913 self._table_name = table_name self._database = database self._schema = schema + self.__session = session or self._get_session(credentials) # for testing connection_parameters = credentials connection_parameters.update( @@ -180,7 +183,8 @@ def _describe(self) -> dict[str, Any]: @staticmethod def _get_session(connection_parameters) -> sp.Session: - """Given a connection string, create singleton connection + """ + Given a connection string, create singleton connection to be used across all instances of `SnowparkTableDataset` that need to connect to the same source. connection_parameters is a dictionary of any values @@ -208,35 +212,52 @@ def _get_session(connection_parameters) -> sp.Session: @property def _session(self) -> sp.Session: - return self._get_session(self._connection_parameters) + """ + Retrieve or create a session. + + Returns: + sp.Session: The current session associated with the object. + """ + if not self.__session: + self.__session = self._get_session(self._connection_parameters) + return self.__session def load(self) -> sp.DataFrame: - table_name: list = [ - self._database, - self._schema, - self._table_name, - ] + """ + Load data from a specified database table. + Returns: + sp.DataFrame: The loaded data as a Snowpark DataFrame. + """ + table_name = [self._database, self._schema, self._table_name] sp_df = self._session.table(".".join(table_name)) return sp_df - def save(self, data: Union[pd.DataFrame, sp.DataFrame) -> None: + def save(self, data: pd.DataFrame | sp.DataFrame) -> None: + """ + Save data to a specified database table. + + Args: + data (pd.DataFrame | sp.DataFrame): The data to save. + """ if isinstance(data, pd.DataFrame): data = self._session.create_dataframe(data) - table_name = ".".join([self._database, self._schema, self._table_name]) + table_name = [self._database, self._schema, self._table_name] data.write.save_as_table(table_name, **self._save_args) def _exists(self) -> bool: - session = self._session - query = "SELECT COUNT(*) FROM {database}.INFORMATION_SCHEMA.TABLES \ - WHERE TABLE_SCHEMA = '{schema}' \ - AND TABLE_NAME = '{table_name}'" - rows = session.sql( - query.format( - database=self._database, - schema=self._schema, - table_name=self._table_name, - ) - ).collect() - return rows[0][0] == 1 + """ + Check if a specified table exists in the database. + + Returns: + bool: True if the table exists, False otherwise. + """ + try: + self._session.table( + f"{self._database}.{self._schema}.{self._table_name}" + ).show() + return True + except Exception as e: + logger.debug(f"Table {self._table_name} does not exist: {e}") + return False diff --git a/kedro-datasets/tests/snowflake/conftest.py b/kedro-datasets/tests/snowflake/conftest.py deleted file mode 100644 index 704ecf482..000000000 --- a/kedro-datasets/tests/snowflake/conftest.py +++ /dev/null @@ -1,25 +0,0 @@ -""" -We disable execution of tests that require real Snowflake instance -to run by default. Providing -m snowflake option explicitly to -pytest will make these and only these tests run -""" - -import pytest - - -def pytest_collection_modifyitems(config, items): - markers_arg = config.getoption("-m") - - # Naive implementation to handle basic marker expressions - # Will not work if someone will (ever) run pytest with complex marker - # expressions like "-m spark and not (snowflake or pandas)" - if ( - "snowflake" in markers_arg.lower() - and "not snowflake" not in markers_arg.lower() - ): - return - - skip_snowflake = pytest.mark.skip(reason="need -m snowflake option to run") - for item in items: - if "snowflake" in item.keywords: - item.add_marker(skip_snowflake) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 5dc4d2ee7..af92f20bd 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,127 +1,111 @@ import datetime -import os import pandas as pd import pytest -import snowflake.snowpark as sp -from kedro.io.core import DatasetError - -from kedro_datasets.snowflake import SnowparkTableDataset as spds - - -def get_connection(): - account = os.getenv("SNOWSQL_ACCOUNT") - warehouse = os.getenv("SNOWSQL_WAREHOUSE") - database = os.getenv("SNOWSQL_DATABASE") - role = os.getenv("SNOWSQL_ROLE") - user = os.getenv("SNOWSQL_USER") - schema = os.getenv("SNOWSQL_SCHEMA") - password = os.getenv("SNOWSQL_PWD") - - if not ( - account and warehouse and database and role and user and schema and password - ): - raise DatasetError( - "Snowflake connection environment variables provided not in full" - ) - - conn = { - "account": account, - "warehouse": warehouse, - "database": database, - "role": role, - "user": user, - "schema": schema, - "password": password, - } - return conn - - -def sf_setup_db(sf_session): - # For table exists test - run_query(sf_session, 'CREATE TABLE KEDRO_PYTEST_TESTEXISTS ("name" VARCHAR)') - - # For load test - query = 'CREATE TABLE KEDRO_PYTEST_TESTLOAD ("name" VARCHAR\ - , "age" INTEGER\ - , "bday" date\ - , "height" float\ - , "insert_dttm" timestamp)' - run_query(sf_session, query) - - query = "INSERT INTO KEDRO_PYTEST_TESTLOAD VALUES ('John'\ - , 23\ - , to_date('1999-12-02','YYYY-MM-DD')\ - , 6.5\ - , to_timestamp_ntz('2022-12-02 13:20:01',\ - 'YYYY-MM-DD hh24:mi:ss'))" - run_query(sf_session, query) - - query = "INSERT INTO KEDRO_PYTEST_TESTLOAD VALUES ('Jane'\ - , 41\ - , to_date('1981-01-03','YYYY-MM-DD')\ - , 5.7\ - , to_timestamp_ntz('2022-12-02 13:21:11',\ - 'YYYY-MM-DD hh24:mi:ss'))" - run_query(sf_session, query) - - -def sf_db_cleanup(sf_session): - run_query(sf_session, "DROP TABLE IF EXISTS KEDRO_PYTEST_TESTEXISTS") - run_query(sf_session, "DROP TABLE IF EXISTS KEDRO_PYTEST_TESTLOAD") - run_query(sf_session, "DROP TABLE IF EXISTS KEDRO_PYTEST_TESTSAVE") - - -def run_query(session, query): - df = session.sql(query) - df.collect() - return df - - -def df_equals_ignore_dtype(df1, df2): - # Pytest will show respective stdout only if test fails - # this will help to debug what was exactly not matching right away - - c1 = df1.to_pandas().values.tolist() - c2 = df2.to_pandas().values.tolist() - - print(c1) - print("--- comparing to ---") - print(c2) - - for i, row in enumerate(c1): - for j, column in enumerate(row): - if not column == c2[i][j]: - print(f"{column} not equal to {c2[i][j]}") - return False - return True +from snowflake.snowpark import DataFrame +from snowflake.snowpark.session import Session +from snowflake.snowpark.types import ( + DateType, + FloatType, + IntegerType, + StringType, + StructField, + StructType, + TimestampType, +) + +from kedro_datasets.snowflake.snowpark_dataset import SnowparkTableDataset + +# Example dummy configuration for testing +DUMMY_CREDENTIALS = { + "account": "DUMMY_ACCOUNT", + "warehouse": "DUMMY_WAREHOUSE", + "database": "DUMMY_DATABASE", + "schema": "DUMMY_SCHEMA", + "user": "DUMMY_USER", + "password": "DUMMY_PASSWORD", +} + + +@pytest.fixture(scope="module") +def local_snowpark_session() -> Session: + """ + Creates a local Snowflake session for testing purposes. + See https://docs.snowflake.com/en/developer-guide/snowpark/python/testing-locally + + Returns: + Session: Snowflake session object configured for local testing. + """ + return Session.builder.config("local_testing", True).create() + + +@pytest.fixture(scope="module") +def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: + """ + Provides a SnowparkTableDataset fixture for testing. + + Args: + snowflake_session (Session): The Snowflake session used for this dataset. + + Returns: + SnowparkTableDataset: Dataset configuration for a Snowflake table. + """ + return SnowparkTableDataset( + table_name="DUMMY_TABLE", + credentials=DUMMY_CREDENTIALS, + session=local_snowpark_session, + save_args={"mode": "overwrite"}, + ) @pytest.fixture -def sample_sp_df(sf_session): - return sf_session.create_dataframe( +def sample_sp_df(local_snowpark_session: Session) -> DataFrame: + """ + Creates a sample Snowpark DataFrame for testing. + + Args: + snowflake_session (Session): Session to create the DataFrame. + + Returns: + snowpark.DataFrame: DataFrame with sample data and schema. + """ + return local_snowpark_session.create_dataframe( [ - [ + ( "John", 23, datetime.date(1999, 12, 2), 6.5, datetime.datetime(2022, 12, 2, 13, 20, 1), - ], - [ + ), + ( "Jane", 41, datetime.date(1981, 1, 3), 5.7, datetime.datetime(2022, 12, 2, 13, 21, 11), - ], + ), ], - schema=["name", "age", "bday", "height", "insert_dttm"], + schema=StructType( + [ + StructField("name", StringType()), + StructField("age", IntegerType()), + StructField("bday", DateType()), + StructField("height", FloatType()), + StructField("insert_dttm", TimestampType()), + ] + ), ) @pytest.fixture -def sample_pd_df(): +def sample_pd_df() -> pd.DataFrame: + """ + Creates a sample Pandas DataFrame for testing. + + Returns: + pd.DataFrame: DataFrame with sample data. + """ return pd.DataFrame( { "name": ["Alice", "Bob"], @@ -136,56 +120,80 @@ def sample_pd_df(): ) -@pytest.fixture -def sf_session(): - sf_session = sp.Session.builder.configs(get_connection()).create() - - # Running cleanup in case previous run was interrupted w/o proper cleanup - sf_db_cleanup(sf_session) - sf_setup_db(sf_session) - - yield sf_session - sf_db_cleanup(sf_session) - sf_session.close() - - class TestSnowparkTableDataset: - @pytest.mark.snowflake - def test_save(self, sample_sp_df, sf_session): - sp_df = spds(table_name="KEDRO_PYTEST_TESTSAVE", credentials=get_connection()) - sp_df._save(sample_sp_df) - sp_df_saved = sf_session.table("KEDRO_PYTEST_TESTSAVE") - assert sp_df_saved.count() == 2 - - @pytest.mark.snowflake - def test_save_with_pandas(self, sample_pd_df, sf_session): - sp_df = spds( - table_name="KEDRO_PYTEST_TESTSAVEPANDAS", credentials=get_connection() - ) - sp_df.save(sample_pd_df) - - sp_df_saved = sf_session.table("KEDRO_PYTEST_TESTSAVEPANDAS") - - # Assert the count matches - assert sp_df_saved.count() == 2 - - @pytest.mark.snowflake - def test_load(self, sample_sp_df, sf_session): - print(sf_session) - sp_df = spds( - table_name="KEDRO_PYTEST_TESTLOAD", credentials=get_connection() - )._load() - - # Ignoring dtypes as ex. age can be int8 vs int64 and pandas.compare - # fails on that - assert df_equals_ignore_dtype(sample_sp_df, sp_df) - - @pytest.mark.snowflake - def test_exists(self, sf_session): - print(sf_session) - df_e = spds(table_name="KEDRO_PYTEST_TESTEXISTS", credentials=get_connection()) - df_ne = spds( - table_name="KEDRO_PYTEST_TESTNEXISTS", credentials=get_connection() - ) - assert df_e._exists() - assert not df_ne._exists() + """Tests for the SnowparkTableDataset functionality.""" + + def test_save_with_snowpark( + self, sample_sp_df: DataFrame, snowflake_dataset: SnowparkTableDataset + ) -> None: + """Tests saving a Snowpark DataFrame to a Snowflake table. + + Args: + sample_sp_df (snowpark.DataFrame): Sample data to save. + snowflake_dataset (SnowparkTableDataset): Dataset to test. + + Asserts: + The count of the loaded DataFrame matches the saved DataFrame. + """ + snowflake_dataset.save(sample_sp_df) + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == sample_sp_df.count() + + def test_save_with_pandas( + self, sample_pd_df: pd.DataFrame, snowflake_dataset: SnowparkTableDataset + ) -> None: + """ + Tests saving a Pandas DataFrame to a Snowflake table. + + Args: + sample_pd_df (pd.DataFrame): Sample data to save. + snowflake_dataset (SnowparkTableDataset): Dataset to test. + + Asserts: + The count of the loaded DataFrame matches the number of rows in the Pandas DataFrame. + """ + snowflake_dataset.save(sample_pd_df) + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == len(sample_pd_df) + + def test_load( + self, snowflake_dataset: SnowparkTableDataset, sample_sp_df: DataFrame + ) -> None: + """ + Tests loading data from a Snowflake table. + + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to load data from. + sample_sp_df (snowpark.DataFrame): Sample data for reference. + + Asserts: + The count of the loaded DataFrame matches the reference sample DataFrame. + """ + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == sample_sp_df.count() + + def test_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: + """ + Tests if a Snowflake table exists. + + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to check existence. + + Asserts: + The dataset table exists in the Snowflake environment. + """ + exists = snowflake_dataset._exists() + assert exists + + def test_not_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: + """ + Tests if a non-existent Snowflake table is detected. + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to check existence. + + Asserts: + The dataset table does not exist in the Snowflake environment. + """ + snowflake_dataset._table_name = "NON_EXISTENT_TABLE" + exists = snowflake_dataset._exists() + assert not exists From c1eeb770665669f0c3b39ee551ced7f00601ec83 Mon Sep 17 00:00:00 2001 From: Thomas Date: Wed, 16 Oct 2024 18:07:46 +0200 Subject: [PATCH 23/88] Update kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py Signed-off-by: Thomas Signed-off-by: tdhooghe --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index a8cb36d59..03073a8e4 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -26,7 +26,7 @@ class SnowparkTableDataset(AbstractDataset): weather: type: kedro_datasets.snowflake.SnowparkTableDataset table_name: "weather_data" - databasereak: "meteorology" + database: "meteorology" schema: "observations" credentials: db_credentials save_args: From b9bf73edc2a47f5063b914f45faa701ea1c4d01f Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 17:04:22 +0200 Subject: [PATCH 24/88] validate and check table name for nones Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 27 +++++++++++++++---- 1 file changed, 22 insertions(+), 5 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 03073a8e4..a1d4ee1d3 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -229,9 +229,7 @@ def load(self) -> sp.DataFrame: Returns: sp.DataFrame: The loaded data as a Snowpark DataFrame. """ - table_name = [self._database, self._schema, self._table_name] - sp_df = self._session.table(".".join(table_name)) - return sp_df + return self._session.table(self._validate_and_get_table_name()) def save(self, data: pd.DataFrame | sp.DataFrame) -> None: """ @@ -240,11 +238,11 @@ def save(self, data: pd.DataFrame | sp.DataFrame) -> None: Args: data (pd.DataFrame | sp.DataFrame): The data to save. """ + breakpoint() if isinstance(data, pd.DataFrame): data = self._session.create_dataframe(data) - table_name = [self._database, self._schema, self._table_name] - data.write.save_as_table(table_name, **self._save_args) + data.write.save_as_table(self._validate_and_get_table_name(), **self._save_args) def _exists(self) -> bool: """ @@ -261,3 +259,22 @@ def _exists(self) -> bool: except Exception as e: logger.debug(f"Table {self._table_name} does not exist: {e}") return False + + def _validate_and_get_table_name(self) -> str: + """ + Validate that all parts of the table name are not None and join them into a string. + + Args: + parts (list[str | None]): The list containing database, schema, and table name. + + Returns: + str: The joined table name in the format 'database.schema.table'. + + Raises: + ValueError: If any part of the table name is None. + """ + parts = [self._database, self._schema, self._table_name] + if any(part is None for part in parts): + raise ValueError(f"Table name parts cannot be None: {parts}") + + return ".".join(parts) From 2c804c9c268d5ef73023c63a3b776e7eb34edd78 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 17:07:37 +0200 Subject: [PATCH 25/88] remove breakpoint Signed-off-by: tdhooghe --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 1 - 1 file changed, 1 deletion(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index a1d4ee1d3..1ff6f9d55 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -238,7 +238,6 @@ def save(self, data: pd.DataFrame | sp.DataFrame) -> None: Args: data (pd.DataFrame | sp.DataFrame): The data to save. """ - breakpoint() if isinstance(data, pd.DataFrame): data = self._session.create_dataframe(data) From 7b7811d60d5673b7cd6f38704a69a16b1076a9ad Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 17:23:33 +0200 Subject: [PATCH 26/88] change doc type hinting for tests to pass Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 1ff6f9d55..f01651e84 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -8,6 +8,7 @@ import pandas as pd import snowflake.snowpark as sp from kedro.io.core import AbstractDataset, DatasetError +from snowflake.snowpark import DataFrame, Session logger = logging.getLogger(__name__) @@ -111,7 +112,7 @@ def __init__( # noqa: PLR0913 load_args: dict[str, Any] | None = None, save_args: dict[str, Any] | None = None, credentials: dict[str, Any] | None = None, - session: sp.Session | None = None, + session: Session | None = None, metadata: dict[str, Any] | None = None, ) -> None: """ @@ -182,7 +183,7 @@ def _describe(self) -> dict[str, Any]: } @staticmethod - def _get_session(connection_parameters) -> sp.Session: + def _get_session(connection_parameters) -> Session: """ Given a connection string, create singleton connection to be used across all instances of `SnowparkTableDataset` that @@ -211,32 +212,32 @@ def _get_session(connection_parameters) -> sp.Session: return session @property - def _session(self) -> sp.Session: + def _session(self) -> Session: """ Retrieve or create a session. Returns: - sp.Session: The current session associated with the object. + Session: The current session associated with the object. """ if not self.__session: self.__session = self._get_session(self._connection_parameters) return self.__session - def load(self) -> sp.DataFrame: + def load(self) -> DataFrame: """ Load data from a specified database table. Returns: - sp.DataFrame: The loaded data as a Snowpark DataFrame. + DataFrame: The loaded data as a Snowpark DataFrame. """ return self._session.table(self._validate_and_get_table_name()) - def save(self, data: pd.DataFrame | sp.DataFrame) -> None: + def save(self, data: pd.DataFrame | DataFrame) -> None: """ Save data to a specified database table. Args: - data (pd.DataFrame | sp.DataFrame): The data to save. + data (pd.DataFrame | DataFrame): The data to save. """ if isinstance(data, pd.DataFrame): data = self._session.create_dataframe(data) From 23b056acb2e465cb6f3f970a7601873bd9d93d6d Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Fri, 11 Oct 2024 03:22:02 -0600 Subject: [PATCH 27/88] feat(datasets): create separate `ibis.FileDataset` (#842) * feat(datasets): create separate `ibis.FileDataset` Signed-off-by: Deepyaman Datta * chore(datasets): deprecate `TableDataset` file I/O Signed-off-by: Deepyaman Datta * feat(datasets): implement `FileDataset` versioning Signed-off-by: Deepyaman Datta * chore(datasets): try `os.path.exists`, for Windows Signed-off-by: Deepyaman Datta * revert(datasets): use pathlib, ignore Windows test Refs: b7ff0c7 Signed-off-by: Deepyaman Datta * docs(datasets): add `ibis.FileDataset` to contents Signed-off-by: Deepyaman Datta * chore(datasets): add docstring for `hashable` func Signed-off-by: Deepyaman Datta * chore(datasets): add docstring for `hashable` func Signed-off-by: Deepyaman Datta * feat(datasets)!: 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+pandas-hdfdataset = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "tables" }, +] +pandas-jsondataset = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, +] +pandas-parquetdataset = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "pyarrow" }, +] +pandas-sqlquerydataset = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "pyodbc" }, + { name = "sqlalchemy" }, +] +pandas-sqltabledataset = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "sqlalchemy" }, +] +pandas-xmldataset = [ + { name = "lxml" }, + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, +] +pickle = [ + { name = "compress-pickle", extra = ["lz4"] }, +] +pickle-pickledataset = [ + { name = "compress-pickle", extra = ["lz4"] }, +] +pillow = [ + { name = "pillow" }, +] +pillow-imagedataset = [ + { name = "pillow" }, +] +plotly = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "plotly" }, +] +plotly-base = [ + { name = "plotly" }, +] +plotly-htmldataset = [ + { name = "plotly" }, +] +plotly-jsondataset = [ + { name = "plotly" }, +] +plotly-plotlydataset = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "plotly" }, +] +polars = [ + { name = "deltalake" }, + { name = "polars" }, + { name = "pyarrow" }, + { name = "xlsx2csv" }, +] +polars-base = [ + { name = "polars" }, +] +polars-csvdataset = [ + { name = "polars" }, +] +polars-eagerpolarsdataset = [ + { name = "deltalake" }, + { name = "polars" }, + { name = "pyarrow" }, + { name = "xlsx2csv" }, +] +polars-lazypolarsdataset = [ + { name = "deltalake" }, + { name = "polars" }, + { name = "pyarrow" }, +] +prophet-dataset = [ + { name = "prophet" }, +] +pytorch = [ + { name = "torch" }, +] +pytorch-dataset = [ + { name = "torch" }, +] +redis = [ + { name = "redis" }, +] +redis-pickledataset = [ + { name = "redis" }, +] +rioxarray = [ + { name = "rioxarray" }, +] +rioxarray-geotiffdataset = [ + { name = "rioxarray" }, +] +s3fs-base = [ + { name = "s3fs" }, +] +snowflake = [ + { name = "snowflake-snowpark-python", marker = "python_full_version < '3.12'" }, +] +snowflake-snowparktabledataset = [ + { name = "snowflake-snowpark-python", marker = "python_full_version < '3.12'" }, +] +spark = [ + { name = "delta-spark" }, + { name = "hdfs" }, + { name = "pyspark" }, + { name = "s3fs" }, +] +spark-base = [ + { name = "pyspark" }, +] +spark-deltatabledataset = [ + { name = "delta-spark" }, + { name = "hdfs" }, + { name = "pyspark" }, + { name = "s3fs" }, +] +spark-sparkdataset = [ + { name = "hdfs" }, + { name = "pyspark" }, + { name = "s3fs" }, +] +spark-sparkhivedataset = [ + { name = "hdfs" }, + { name = "pyspark" }, + { name = "s3fs" }, +] +spark-sparkjdbcdataset = [ + { name = "pyspark" }, +] +spark-sparkstreamingdataset = [ + { name = "hdfs" }, + { name = "pyspark" }, + { name = "s3fs" }, +] +svmlight = [ + { name = "scikit-learn" }, + { name = "scipy" }, +] +svmlight-svmlightdataset = [ + { name = "scikit-learn" }, + { name = "scipy" }, +] +tensorflow = [ + { name = "tensorflow", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'arm64') or (python_full_version >= '3.13' and platform_system != 'Darwin')" }, + { name = "tensorflow", version = "2.15.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.12.*' and platform_machine != 'arm64') or (python_full_version == '3.12.*' and platform_system != 'Darwin')" }, + { name = "tensorflow", version = "2.16.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and platform_machine != 'arm64') or (python_full_version < '3.12' and platform_system != 'Darwin')" }, + { name = "tensorflow-macos", marker = "platform_machine == 'arm64' and platform_system == 'Darwin'" }, +] +tensorflow-tensorflowmodeldataset = [ + { name = "tensorflow", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'arm64') or (python_full_version >= '3.13' and platform_system != 'Darwin')" }, + { name = "tensorflow", version = "2.15.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.12.*' and platform_machine != 'arm64') or (python_full_version == '3.12.*' and platform_system != 'Darwin')" }, + { name = "tensorflow", version = "2.16.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and platform_machine != 'arm64') or (python_full_version < '3.12' and platform_system != 'Darwin')" }, + { name = "tensorflow-macos", marker = "platform_machine == 'arm64' and platform_system == 'Darwin'" }, +] +test = [ + { name = "accelerate" }, + { name = "adlfs" }, + { name = "bandit" }, + { name = "behave" }, + { name = "biopython" }, + { name = "black" }, + { name = "blacken-docs" }, + { name = "cloudpickle" }, + { name = "compress-pickle", extra = ["lz4"] }, + { name = "coverage" }, + { name = "dask", extra = ["complete"] }, + { name = "datasets" }, + { name = "delta-spark" }, + { name = "deltalake" }, + { name = "dill" }, + { name = "filelock" }, + { name = "gcsfs" }, + { name = "geopandas" }, + { name = "hdfs" }, + { name = "holoviews" }, + { name = "huggingface-hub" }, + { name = "ibis-framework", extra = ["duckdb"] }, + { name = "import-linter", extra = ["toml"] }, + { name = "ipython" }, + { name = "jinja2" }, + { name = "joblib" }, + { name = "jupyter" }, + { name = "jupyterlab" }, + { name = "lxml" }, + { name = "matplotlib" }, + { name = "memory-profiler" }, + { name = "moto" }, + { name = "mypy" }, + { name = "networkx" }, + { name = "opencv-python" }, + { name = "openpyxl" }, + { name = "packaging" }, + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "pandas-gbq" }, + { name = "pillow" }, + { name = "plotly" }, + { name = "polars", extra = ["deltalake", "xlsx2csv"] }, + { name = "pre-commit" }, + { name = "pyarrow" }, + { name = "pyodbc" }, + { name = "pyproj" }, + { name = "pyspark" }, + { name = "pytest" }, + { name = "pytest-cov" }, + { name = "pytest-mock" }, + { name = "pytest-xdist", extra = ["psutil"] }, + { name = "redis" }, + { name = "requests" }, + { name = "requests-mock" }, + { name = "ruff" }, + { name = "s3fs" }, + { name = "scikit-learn" }, + { name = "scipy" }, + { name = "snowflake-snowpark-python" }, + { name = "sqlalchemy" }, + { name = "tables" }, + { name = "tensorflow", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'arm64') or (python_full_version >= '3.13' and platform_system != 'Darwin')" }, + { name = "tensorflow", version = "2.15.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.12.*' and platform_machine != 'arm64') or (python_full_version == '3.12.*' and platform_system != 'Darwin')" }, + { name = "tensorflow", version = "2.16.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and platform_machine != 'arm64') or (python_full_version < '3.12' and platform_system != 'Darwin')" }, + { name = "tensorflow-macos", marker = "platform_machine == 'arm64' and platform_system == 'Darwin'" }, + { name = "transformers", extra = ["torch"] }, + { name = "triad" }, + { name = "trufflehog" }, + { name = "types-cachetools" }, + { name = "types-decorator" }, + { name = "types-pyyaml" }, + { name = "types-redis" }, + { name = "types-requests" }, + { name = "types-six" }, + { name = "types-tabulate" }, + { name = "xarray" }, + { name = "xlsxwriter" }, +] +video = [ + { name = "opencv-python" }, +] +video-videodataset = [ + { name = "opencv-python" }, +] +yaml = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "pyyaml" }, +] +yaml-yamldataset = [ + { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "pyyaml" }, +] + +[package.metadata] +requires-dist = [ + { name = "accelerate", marker = "extra == 'test'", specifier = "<0.32" }, + { name = "adlfs", marker = "extra == 'test'", specifier = "~=2023.1" }, + { name = "apache-flink", marker = "extra == 'ibis-flink'" }, + { name = "bandit", marker = "extra == 'test'", specifier = ">=1.6.2,<2.0" }, + { name = "behave", marker = "extra == 'test'", specifier = "==1.2.6" }, + { name = "biopython", marker = "extra == 'biosequence-biosequencedataset'", specifier = "~=1.73" }, + { name = "biopython", marker = "extra == 'test'", specifier = "~=1.73" }, + { name = "black", marker = "extra == 'test'", specifier = "~=22.0" }, + { name = "blacken-docs", marker = "extra == 'test'", specifier = "==1.9.2" }, + { name = "cloudpickle", marker = "extra == 'test'", specifier = "<=2.2.1" }, + { name = "compress-pickle", extras = ["lz4"], marker = "extra == 'pickle-pickledataset'", specifier = "~=2.1.0" }, + { name = "compress-pickle", extras = ["lz4"], marker = "extra == 'test'", specifier = "~=2.1.0" }, + { name = "coverage", marker = "extra == 'test'", specifier = ">=7.2.0" }, + { name = "dask", extras = ["complete"], marker = "extra == 'dask-parquetdataset'", specifier = ">=2021.10" }, + { name = "dask", extras = ["complete"], marker = "extra == 'test'", specifier = ">=2021.10" }, + { name = "dask", extras = ["dataframe"], marker = "extra == 'dask-csvdataset'", specifier = ">=2021.10" }, + { name = "datasets", marker = "extra == 'huggingface-hfdataset'" }, + { name = "datasets", marker = "extra == 'test'" }, + { name = "delta-spark", marker = "extra == 'delta-base'", specifier = ">=1.0,<4.0" }, + { name = "delta-spark", marker = "extra == 'test'", specifier = ">=1.0,<3.0" }, + { name = "deltalake", marker = "extra == 'pandas-deltatabledataset'", specifier = ">=0.10.0" }, + { name = "deltalake", marker = "extra == 'polars-eagerpolarsdataset'", specifier = ">=0.6.2" }, + { name = "deltalake", marker = "extra == 'polars-lazypolarsdataset'", specifier = ">=0.6.2" }, + { name = "deltalake", marker = "extra == 'test'", specifier = ">=0.10.0" }, + { name = "dill", marker = "extra == 'test'", specifier = "~=0.3.1" }, + { name = "filelock", marker = "extra == 'test'", specifier = ">=3.4.0,<4.0" }, + { name = "gcsfs", marker = "extra == 'test'", specifier = ">=2023.1,<2023.3" }, + { name = "geopandas", marker = "extra == 'geopandas-geojsondataset'", specifier = ">=0.6.0,<1.0" }, + { name = "geopandas", marker = "extra == 'test'", specifier = ">=0.6.0,<1.0" }, + { name = "h5netcdf", marker = "extra == 'experimental'", specifier = ">=1.2.0" }, + { name = "h5netcdf", marker = "extra == 'netcdf-netcdfdataset'", specifier = ">=1.2.0" }, + { name = "hdfs", marker = "extra == 'hdfs-base'", specifier = ">=2.5.8,<3.0" }, + { name = "hdfs", marker = "extra == 'test'", specifier = ">=2.5.8,<3.0" }, + { name = "holoviews", marker = "extra == 'holoviews-holoviewswriter'", specifier = ">=1.13.0" }, + { name = "holoviews", marker = "extra == 'test'", specifier = ">=1.13.0" }, + { name = "huggingface-hub", marker = "extra == 'huggingface-hfdataset'" }, + { name = "huggingface-hub", marker = "extra == 'test'" }, + { name = "ibis-framework", marker = "extra == 'ibis'" }, + { name = "ibis-framework", marker = "extra == 'ibis-flink'" }, + { name = "ibis-framework", extras = ["bigquery"], marker = "extra == 'ibis-bigquery'" }, + { name = "ibis-framework", extras = ["clickhouse"], marker = "extra == 'ibis-clickhouse'" }, + { name = "ibis-framework", extras = ["dask"], marker = "extra == 'ibis-dask'" }, + { name = "ibis-framework", extras = ["datafusion"], marker = "extra == 'ibis-datafusion'" }, + { name = "ibis-framework", extras = ["druid"], marker = "extra == 'ibis-druid'" }, + { name = "ibis-framework", extras = ["duckdb"], marker = "extra == 'ibis-duckdb'" }, + { name = "ibis-framework", extras = ["duckdb", "examples"], marker = "extra == 'test'" }, + { name = "ibis-framework", extras = ["exasol"], marker = "extra == 'ibis-exasol'" }, + { name = "ibis-framework", extras = ["impala"], marker = "extra == 'ibis-impala'" }, + { name = "ibis-framework", extras = ["mssql"], marker = "extra == 'ibis-mssql'" }, + { name = "ibis-framework", extras = ["mysql"], marker = "extra == 'ibis-mysql'" }, + { name = "ibis-framework", extras = ["oracle"], marker = "extra == 'ibis-oracle'" }, + { name = "ibis-framework", extras = ["pandas"], marker = "extra == 'ibis-pandas'" }, + { name = "ibis-framework", extras = ["polars"], marker = "extra == 'ibis-polars'" }, + { name = "ibis-framework", extras = ["postgres"], marker = "extra == 'ibis-postgres'" }, + { name = "ibis-framework", extras = ["pyspark"], marker = "extra == 'ibis-pyspark'" }, + { name = "ibis-framework", extras = ["risingwave"], marker = "extra == 'ibis-risingwave'" }, + { name = "ibis-framework", extras = ["snowflake"], marker = "extra == 'ibis-snowflake'" }, + { name = "ibis-framework", extras = ["sqlite"], marker = "extra == 'ibis-sqlite'" }, + { name = "ibis-framework", extras = ["trino"], marker = "extra == 'ibis-trino'" }, + { name = "import-linter", extras = ["toml"], marker = "extra == 'test'", specifier = "==1.2.6" }, + { name = "ipykernel", marker = "extra == 'docs'", specifier = ">=5.3,<7.0" }, + { name = "ipython", marker = "extra == 'test'", specifier = ">=7.31.1,<8.0" }, + { name = "jinja2", marker = "extra == 'docs'", specifier = "<3.2.0" }, + { name = "jinja2", marker = "extra == 'test'", specifier = "<3.2.0" }, + { name = "joblib", marker = "extra == 'test'", specifier = ">=0.14" }, + { name = "jupyter", marker = "extra == 'test'", specifier = "~=1.0" }, + { name = "jupyterlab", marker = "extra == 'test'", specifier = ">=3.0" }, + { name = "kedro", specifier = ">=0.19.7" }, + { name = "kedro-datasets", extras = ["api-apidataset"], marker = "extra == 'api'" }, + { name = "kedro-datasets", extras = ["biosequence-biosequencedataset"], marker = "extra == 'biosequence'" }, + { name = "kedro-datasets", extras = ["dask-csvdataset", "dask-parquetdataset"], marker = "extra == 'dask'" }, + { name = "kedro-datasets", extras = ["databricks-managedtabledataset"], marker = "extra == 'databricks'" }, + { name = "kedro-datasets", extras = ["delta-base", "hdfs-base", "pandas-base", "s3fs-base", "spark-base"], marker = "extra == 'databricks-managedtabledataset'" }, + { name = "kedro-datasets", extras = ["delta-base", "hdfs-base", "s3fs-base", "spark-base"], marker = "extra == 'spark-deltatabledataset'" }, + { name = "kedro-datasets", extras = ["docs", "test"], marker = "extra == 'all'" }, + { name = "kedro-datasets", extras = ["geopandas-geojsondataset"], marker = "extra == 'geopandas'" }, + { name = "kedro-datasets", extras = ["hdfs-base", "s3fs-base", "spark-base"], marker = "extra == 'spark-sparkdataset'" }, + { name = "kedro-datasets", extras = ["hdfs-base", "s3fs-base", "spark-base"], marker = "extra == 'spark-sparkhivedataset'" }, + { name = "kedro-datasets", extras = ["hdfs-base", "s3fs-base", "spark-base"], marker = "extra == 'spark-sparkstreamingdataset'" }, + { name = "kedro-datasets", extras = ["holoviews-holoviewswriter"], marker = "extra == 'holoviews'" }, + { name = "kedro-datasets", extras = ["huggingface-hfdataset", "huggingface-hftransformerpipelinedataset"], marker = "extra == 'huggingface'" }, + { name = "kedro-datasets", extras = ["json-jsondataset"], marker = "extra == 'json'" }, + { name = "kedro-datasets", extras = ["langchain-chatanthropicdataset", "langchain-chatcoheredataset", "langchain-chatopenaidataset", "langchain-openaiembeddingsdataset"], marker = "extra == 'langchain'" }, + { name = "kedro-datasets", extras = ["matlab-matlabdataset"], marker 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<110245118+ankatiyar@users.noreply.github.com> Date: Thu, 17 Oct 2024 11:55:31 +0100 Subject: [PATCH 28/88] ci(datasets): Fix mypy errors (#893) Signed-off-by: tdhooghe --- kedro-datasets/kedro_datasets/ibis/file_dataset.py | 1 + 1 file changed, 1 insertion(+) diff --git a/kedro-datasets/kedro_datasets/ibis/file_dataset.py b/kedro-datasets/kedro_datasets/ibis/file_dataset.py index f204e297b..82c05e382 100644 --- a/kedro-datasets/kedro_datasets/ibis/file_dataset.py +++ b/kedro-datasets/kedro_datasets/ibis/file_dataset.py @@ -1,4 +1,5 @@ """Provide file loading and saving functionality for Ibis's backends.""" + from __future__ import annotations from copy import deepcopy From 178f0f4d0fd9ac8c515ad0e2ee0884d1b2792123 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 17:35:06 +0200 Subject: [PATCH 29/88] more strict type hinting and casting for linting Signed-off-by: tdhooghe --- .../kedro_datasets/snowflake/snowpark_dataset.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index f01651e84..a9b95b803 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -3,7 +3,7 @@ from __future__ import annotations import logging -from typing import Any +from typing import Any, cast import pandas as pd import snowflake.snowpark as sp @@ -273,8 +273,9 @@ def _validate_and_get_table_name(self) -> str: Raises: ValueError: If any part of the table name is None. """ - parts = [self._database, self._schema, self._table_name] + parts: list[str | None] = [self._database, self._schema, self._table_name] if any(part is None for part in parts): raise ValueError(f"Table name parts cannot be None: {parts}") - return ".".join(parts) + parts_str = cast(list[str], parts) # make linting happy + return ".".join(parts_str) From 013302531ff123f2140aeff9c54e675dcd8e8bf5 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 17:48:45 +0200 Subject: [PATCH 30/88] add back python 3.12 to see if it is compatible Signed-off-by: tdhooghe --- .github/workflows/kedro-datasets.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/kedro-datasets.yml b/.github/workflows/kedro-datasets.yml index aa5cb20f3..d5aae0282 100644 --- a/.github/workflows/kedro-datasets.yml +++ b/.github/workflows/kedro-datasets.yml @@ -22,7 +22,7 @@ jobs: strategy: matrix: os: [ ubuntu-latest, windows-latest ] - python-version: [ "3.10", "3.11"] + python-version: [ "3.10", "3.11", "3.12" ] uses: ./.github/workflows/unit-tests.yml with: plugin: kedro-datasets From fc2b3b8c3f80efc4bf5864b186944c6150ed9845 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 17:57:14 +0200 Subject: [PATCH 31/88] update testing documentation Signed-off-by: tdhooghe --- .github/workflows/kedro-datasets.yml | 2 +- kedro-datasets/tests/snowflake/README.md | 25 ++---------------------- 2 files changed, 3 insertions(+), 24 deletions(-) diff --git a/.github/workflows/kedro-datasets.yml b/.github/workflows/kedro-datasets.yml index d5aae0282..202e4d04b 100644 --- a/.github/workflows/kedro-datasets.yml +++ b/.github/workflows/kedro-datasets.yml @@ -22,7 +22,7 @@ jobs: strategy: matrix: os: [ ubuntu-latest, windows-latest ] - python-version: [ "3.10", "3.11", "3.12" ] + python-version: [ "3.10", "3.11" ] uses: ./.github/workflows/unit-tests.yml with: plugin: kedro-datasets diff --git a/kedro-datasets/tests/snowflake/README.md b/kedro-datasets/tests/snowflake/README.md index 69fde3fd9..d4802a51a 100644 --- a/kedro-datasets/tests/snowflake/README.md +++ b/kedro-datasets/tests/snowflake/README.md @@ -1,26 +1,8 @@ # Snowpark connector testing -Execution of automated tests for Snowpark connector requires real Snowflake instance access. Therefore tests located in this folder are **disabled** by default from pytest execution scope using [conftest.py](conftest.py). +Execution of connection tests for Snowpark connector requires real Snowflake instance access. -[Makefile](/Makefile) provides separate argument ``test-snowflake-only`` to run only tests related to Snowpark connector. To run tests one need to provide Snowflake connection parameters via environment variables: -* SNOWSQL_ACCOUNT - Snowflake account name with region. Ex `ab12345.eu-central-2` -* SNOWSQL_WAREHOUSE - Snowflake virtual warehouse to use -* SNOWSQL_DATABASE - Database to use -* SNOWSQL_SCHEMA - Schema to use when creating tables for tests -* SNOWSQL_ROLE - Role to use for connection -* SNOWSQL_USER - Username to use for connection -* SNOWSQL_PWD - Plain password to use for connection - -All environment variables need to be provided for tests to run. - -Here is example shell command to run snowpark tests via make utility: -```bash -SNOWSQL_ACCOUNT='ab12345.eu-central-2' SNOWSQL_WAREHOUSE='DEV_WH' SNOWSQL_DATABASE='DEV_DB' SNOWSQL_ROLE='DEV_ROLE' SNOWSQL_USER='DEV_USER' SNOWSQL_SCHEMA='DATA' SNOWSQL_PWD='supersecret' make test-snowflake-only -``` - -Currently running tests supports only simple username & password authentication and not SSO/MFA. - -As of Mar-2023, the snowpark connector only works with Python 3.8. +As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. 3.12 is not supported yet. ## Snowflake permissions required Credentials provided via environment variables should have following permissions granted to run tests successfully: @@ -29,6 +11,3 @@ Credentials provided via environment variables should have following permissions * Insert rows into tables in a given schema * Query tables in a given schema * Query `INFORMATION_SCHEMA.TABLES` of respective database - -## Extending tests -Contributors adding new tests should add `@pytest.mark.snowflake` decorator to each test. Exclusion of Snowpark-related pytests from overall execution scope in [conftest.py](conftest.py) works based on markers. From 7efd1628464d386347c6a3f2ad8dc55da84020ef Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 18:31:22 +0200 Subject: [PATCH 32/88] remove uv lock Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 2 +- kedro-datasets/uv.lock | 9495 ----------------- 2 files changed, 1 insertion(+), 9496 deletions(-) delete mode 100644 kedro-datasets/uv.lock diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index a9b95b803..47e08fb95 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -16,7 +16,7 @@ class SnowparkTableDataset(AbstractDataset): """``SnowparkTableDataset`` loads and saves Snowpark dataframes. - As of Oct-2023, the snowpark connector only works with Python 3.11. + As of Oct-2024, the snowpark connector only works with Python 3.11. 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{ name = "pyspark" }, - { name = "s3fs" }, -] -delta-base = [ - { name = "delta-spark" }, -] -docs = [ - { name = "ipykernel" }, - { name = "jinja2" }, - { name = "kedro-sphinx-theme" }, -] -experimental = [ - { name = "h5netcdf" }, - { name = "langchain-anthropic" }, - { name = "langchain-cohere" }, - { name = "langchain-community", version = "0.2.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "langchain-community", version = "0.2.17", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "langchain-openai" }, - { name = "netcdf4" }, - { name = "prophet" }, - { name = "rioxarray" }, - { name = "torch" }, - { name = "xarray" }, -] -geopandas = [ - { name = "geopandas" }, - { name = "pyproj" }, -] -geopandas-geojsondataset = [ - { name = "geopandas" }, - { name = "pyproj" }, -] -hdfs-base = [ - { name = "hdfs" }, -] -holoviews = [ - { name = "holoviews" }, -] -holoviews-holoviewswriter = [ - { name = "holoviews" }, -] -huggingface = [ - { name = "datasets" }, - { name = "huggingface-hub" }, - { name = "transformers" }, -] -huggingface-hfdataset = [ - { name = "datasets" }, - { name = "huggingface-hub" }, -] -huggingface-hftransformerpipelinedataset = [ - { name = "transformers" }, -] -ibis = [ - { name = "ibis-framework" }, -] -ibis-bigquery = [ - { name = "ibis-framework", extra = ["bigquery"] }, -] -ibis-clickhouse = [ - { name = "ibis-framework", extra = ["clickhouse"] }, -] -ibis-dask = [ - { name = "ibis-framework", extra = ["dask"] }, -] -ibis-datafusion = [ - { name = "ibis-framework", extra = ["datafusion"] }, -] -ibis-druid = [ - { name = "ibis-framework", extra = ["druid"] }, -] -ibis-duckdb = [ - { name = "ibis-framework", extra = ["duckdb"] }, -] -ibis-exasol = [ - { name = "ibis-framework" }, -] -ibis-flink = [ - { name = "apache-flink" }, - { name = "ibis-framework" }, -] -ibis-impala = [ - { name = "ibis-framework", extra = ["impala"] }, -] -ibis-mssql = [ - { name = "ibis-framework", extra = ["mssql"] }, -] -ibis-mysql = [ - { name = "ibis-framework", extra = ["mysql"] }, -] -ibis-oracle = [ - { name = "ibis-framework", extra = ["oracle"] }, -] -ibis-pandas = [ - { name = "ibis-framework", extra = ["pandas"] }, -] -ibis-polars = [ - { name = "ibis-framework", extra = ["polars"] }, -] -ibis-postgres = [ - { name = "ibis-framework", extra = ["postgres"] }, -] -ibis-pyspark = [ - { name = "ibis-framework", extra = ["pyspark"] }, -] -ibis-risingwave = [ - { name = "ibis-framework" }, -] -ibis-snowflake = [ - { name = "ibis-framework", extra = ["snowflake"] }, -] -ibis-sqlite = [ - { name = "ibis-framework", extra = ["sqlite"] }, -] -ibis-trino = [ - { name = "ibis-framework", extra = ["trino"] }, -] -langchain = [ - { name = "langchain-anthropic" }, - { name = "langchain-cohere" }, - { name = "langchain-community", version = "0.2.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "langchain-community", version = "0.2.17", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "langchain-openai" }, -] -langchain-chatanthropicdataset = [ - { name = "langchain-anthropic" }, - { name = "langchain-community", version = "0.2.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "langchain-community", version = "0.2.17", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -langchain-chatcoheredataset = [ - { name = "langchain-cohere" }, - { name = "langchain-community", version = "0.2.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "langchain-community", version = "0.2.17", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -langchain-chatopenaidataset = [ - { name = "langchain-openai" }, -] -langchain-openaiembeddingsdataset = [ - { name = "langchain-openai" }, -] -matlab = [ - { name = "scipy" }, -] -matlab-matlabdataset = [ - { name = "scipy" }, -] -matplotlib = [ - { name = "matplotlib" }, -] -matplotlib-matplotlibwriter = [ - { name = "matplotlib" }, -] -netcdf = [ - { name = "h5netcdf" }, - { name = "netcdf4" }, - { name = "xarray" }, -] -netcdf-netcdfdataset = [ - { name = "h5netcdf" }, - { name = "netcdf4" }, - { name = "xarray" }, -] -networkx = [ - { name = "networkx" }, -] -networkx-base = [ - { name = "networkx" }, -] -networkx-gmldataset = [ - { name = "networkx" }, -] -networkx-graphmldataset = [ - { name = "networkx" }, -] -networkx-jsondataset = [ - { name = "networkx" }, -] -pandas = [ - { name = "deltalake" }, - { name = "lxml" }, - { name = "openpyxl" }, - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "pandas-gbq" }, - { name = "pyarrow" }, - { name = "pyodbc" }, - { name = "sqlalchemy" }, - { name = "tables" }, -] -pandas-base = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pandas-csvdataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pandas-deltatabledataset = [ - { name = "deltalake" }, - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pandas-exceldataset = [ - { name = "openpyxl" }, - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pandas-featherdataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pandas-gbqquerydataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "pandas-gbq" }, -] -pandas-gbqtabledataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "pandas-gbq" }, -] -pandas-genericdataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pandas-hdfdataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "tables" }, -] -pandas-jsondataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pandas-parquetdataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "pyarrow" }, -] -pandas-sqlquerydataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "pyodbc" }, - { name = "sqlalchemy" }, -] -pandas-sqltabledataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "sqlalchemy" }, -] -pandas-xmldataset = [ - { name = "lxml" }, - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, -] -pickle = [ - { name = "compress-pickle", extra = ["lz4"] }, -] -pickle-pickledataset = [ - { name = "compress-pickle", extra = ["lz4"] }, -] -pillow = [ - { name = "pillow" }, -] -pillow-imagedataset = [ - { name = "pillow" }, -] -plotly = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "plotly" }, -] -plotly-base = [ - { name = "plotly" }, -] -plotly-htmldataset = [ - { name = "plotly" }, -] -plotly-jsondataset = [ - { name = "plotly" }, -] -plotly-plotlydataset = [ - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "plotly" }, -] -polars = [ - { name = "deltalake" }, - { name = "polars" }, - { name = "pyarrow" }, - { name = "xlsx2csv" }, -] -polars-base = [ - { name = "polars" }, -] -polars-csvdataset = [ - { name = "polars" }, -] -polars-eagerpolarsdataset = [ - { name = "deltalake" }, - { name = "polars" }, - { name = "pyarrow" }, - { name = "xlsx2csv" }, -] -polars-lazypolarsdataset = [ - { name = "deltalake" }, - { name = "polars" }, - { name = "pyarrow" }, -] -prophet-dataset = [ - { name = "prophet" }, -] -pytorch = [ - { name = "torch" }, -] -pytorch-dataset = [ - { name = "torch" }, -] -redis = [ - { name = "redis" }, -] -redis-pickledataset = [ - { name = "redis" }, -] -rioxarray = [ - { name = "rioxarray" }, -] -rioxarray-geotiffdataset = [ - { name = "rioxarray" }, -] -s3fs-base = [ - { name = "s3fs" }, -] -snowflake = [ - { name = "snowflake-snowpark-python", marker = "python_full_version < '3.12'" }, -] -snowflake-snowparktabledataset = [ - { name = "snowflake-snowpark-python", marker = "python_full_version < '3.12'" }, -] -spark = [ - { name = "delta-spark" }, - { name = "hdfs" }, - { name = "pyspark" }, - { name = "s3fs" }, -] -spark-base = [ - { name = "pyspark" }, -] -spark-deltatabledataset = [ - { name = "delta-spark" }, - { name = "hdfs" }, - { name = "pyspark" }, - { name = "s3fs" }, -] -spark-sparkdataset = [ - { name = "hdfs" }, - { name = "pyspark" }, - { name = "s3fs" }, -] -spark-sparkhivedataset = [ - { name = "hdfs" }, - { name = "pyspark" }, - { name = "s3fs" }, -] -spark-sparkjdbcdataset = [ - { name = "pyspark" }, -] -spark-sparkstreamingdataset = [ - { name = "hdfs" }, - { name = "pyspark" }, - { name = "s3fs" }, -] -svmlight = [ - { name = "scikit-learn" }, - { name = "scipy" }, -] -svmlight-svmlightdataset = [ - { name = "scikit-learn" }, - { name = "scipy" }, -] -tensorflow = [ - { name = "tensorflow", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'arm64') or (python_full_version >= '3.13' and platform_system != 'Darwin')" }, - { name = "tensorflow", version = "2.15.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.12.*' and platform_machine != 'arm64') or (python_full_version == '3.12.*' and platform_system != 'Darwin')" }, - { name = "tensorflow", version = "2.16.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and platform_machine != 'arm64') or (python_full_version < '3.12' and platform_system != 'Darwin')" }, - { name = "tensorflow-macos", marker = "platform_machine == 'arm64' and platform_system == 'Darwin'" }, -] -tensorflow-tensorflowmodeldataset = [ - { name = "tensorflow", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'arm64') or (python_full_version >= '3.13' and platform_system != 'Darwin')" }, - { name = "tensorflow", version = "2.15.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.12.*' and platform_machine != 'arm64') or (python_full_version == '3.12.*' and platform_system != 'Darwin')" }, - { name = "tensorflow", version = "2.16.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and platform_machine != 'arm64') or (python_full_version < '3.12' and platform_system != 'Darwin')" }, - { name = "tensorflow-macos", marker = "platform_machine == 'arm64' and platform_system == 'Darwin'" }, -] -test = [ - { name = "accelerate" }, - { name = "adlfs" }, - { name = "bandit" }, - { name = "behave" }, - { name = "biopython" }, - { name = "black" }, - { name = "blacken-docs" }, - { name = "cloudpickle" }, - { name = "compress-pickle", extra = ["lz4"] }, - { name = "coverage" }, - { name = "dask", extra = ["complete"] }, - { name = "datasets" }, - { name = "delta-spark" }, - { name = "deltalake" }, - { name = "dill" }, - { name = "filelock" }, - { name = "gcsfs" }, - { name = "geopandas" }, - { name = "hdfs" }, - { name = "holoviews" }, - { name = "huggingface-hub" }, - { name = "ibis-framework", extra = ["duckdb"] }, - { name = "import-linter", extra = ["toml"] }, - { name = "ipython" }, - { name = "jinja2" }, - { name = "joblib" }, - { name = "jupyter" }, - { name = "jupyterlab" }, - { name = "lxml" }, - { name = "matplotlib" }, - { name = "memory-profiler" }, - { name = "moto" }, - { name = "mypy" }, - { name = "networkx" }, - { name = "opencv-python" }, - { name = "openpyxl" }, - { name = "packaging" }, - { name = "pandas", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "pandas-gbq" }, - { name = "pillow" }, - { name = "plotly" }, - { name = "polars", extra = ["deltalake", "xlsx2csv"] }, - { name = "pre-commit" }, - { name = "pyarrow" }, - { name = "pyodbc" }, - { name = "pyproj" }, - { name = "pyspark" }, - { name = "pytest" }, - { name = "pytest-cov" }, - { name = "pytest-mock" }, - { name = "pytest-xdist", extra = ["psutil"] }, - { name = "redis" }, - { name = "requests" }, - { name = "requests-mock" }, - { name = "ruff" }, - { name = "s3fs" }, - { name = "scikit-learn" }, - { name = "scipy" }, - { name = "snowflake-snowpark-python" }, - { name = "sqlalchemy" }, - { name = "tables" }, - { name = "tensorflow", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'arm64') or (python_full_version >= '3.13' and platform_system != 'Darwin')" }, - { name = "tensorflow", version = "2.15.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.12.*' and platform_machine != 'arm64') or (python_full_version == '3.12.*' and platform_system != 'Darwin')" }, - { name = "tensorflow", version = "2.16.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and platform_machine != 'arm64') or (python_full_version < '3.12' and platform_system != 'Darwin')" }, - { name = "tensorflow-macos", marker = "platform_machine == 'arm64' and platform_system == 'Darwin'" }, - 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1 file changed, 1 deletion(-) diff --git a/kedro-datasets/kedro_datasets/ibis/file_dataset.py b/kedro-datasets/kedro_datasets/ibis/file_dataset.py index 82c05e382..f204e297b 100644 --- a/kedro-datasets/kedro_datasets/ibis/file_dataset.py +++ b/kedro-datasets/kedro_datasets/ibis/file_dataset.py @@ -1,5 +1,4 @@ """Provide file loading and saving functionality for Ibis's backends.""" - from __future__ import annotations from copy import deepcopy From 4d514d9aaff3a0e0ecc8b72da3f69d62d00ea9bd Mon Sep 17 00:00:00 2001 From: Thomas Date: Mon, 21 Oct 2024 18:36:31 +0200 Subject: [PATCH 34/88] Update kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py Signed-off-by: Thomas --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 47e08fb95..82a7e582c 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -16,7 +16,7 @@ class SnowparkTableDataset(AbstractDataset): """``SnowparkTableDataset`` loads and saves Snowpark dataframes. - As of Oct-2024, the snowpark connector only works with Python 3.11. + As of Oct-2024, the snowpark connector only works with Python 3.9, 3.10 and 3.11. Example usage for the `YAML API Date: Mon, 21 Oct 2024 18:37:00 +0200 Subject: [PATCH 35/88] Update kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py Signed-off-by: Thomas --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 82a7e582c..fdf1b9f9b 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -16,7 +16,7 @@ class SnowparkTableDataset(AbstractDataset): """``SnowparkTableDataset`` loads and saves Snowpark dataframes. - As of Oct-2024, the snowpark connector only works with Python 3.9, 3.10 and 3.11. + As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. Python 3.12 is not supported yet. Example usage for the `YAML API Date: Mon, 21 Oct 2024 18:43:11 +0200 Subject: [PATCH 36/88] touch as little reqs ass possible Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index cd25e866b..145ee953a 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -40,8 +40,8 @@ dask = ["kedro-datasets[dask-parquetdataset, dask-csvdataset]"] databricks-managedtabledataset = ["kedro-datasets[spark-base,pandas-base,delta-base,hdfs-base,s3fs-base]"] databricks = ["kedro-datasets[databricks-managedtabledataset]"] -geopandas-geojsondataset = ["geopandas>=0.6.0, <1.0", "pyproj~=3.0"] -geopandas = ["kedro-datasets[geopandas-geojsondataset]"] +geopandas-genericdataset = ["geopandas>=0.8.0, <2.0", "fiona >=1.8, <2.0"] +geopandas = ["kedro-datasets[geopandas-genericdataset]"] holoviews-holoviewswriter = ["holoviews>=1.13.0"] holoviews = ["kedro-datasets[holoviews-holoviewswriter]"] @@ -138,7 +138,7 @@ polars = [ redis-pickledataset = ["redis~=4.1"] redis = ["kedro-datasets[redis-pickledataset]"] -snowflake-snowparktabledataset = ["snowflake-snowpark-python~=1.23; python_version < '3.12'"] +snowflake-snowparktabledataset = ["snowflake-snowpark-python>=1.23"] snowflake = ["kedro-datasets[snowflake-snowparktabledataset]"] spark-deltatabledataset = ["kedro-datasets[spark-base,hdfs-base,s3fs-base,delta-base]"] @@ -174,7 +174,6 @@ yaml-yamldataset = ["kedro-datasets[pandas-base]", "PyYAML>=4.2, <7.0"] yaml = ["kedro-datasets[yaml-yamldataset]"] # Experimental Datasets -databricks-externaltabledataset = ["kedro-datasets[spark-base,pandas-base,delta-base,hdfs-base,s3fs-base]"] langchain-chatopenaidataset = ["langchain-openai~=0.1.7"] langchain-openaiembeddingsdataset = ["langchain-openai~=0.1.7"] langchain-chatanthropicdataset = ["langchain-anthropic~=0.1.13", "langchain-community~=0.2.0"] @@ -194,7 +193,7 @@ rioxarray = ["kedro-datasets[rioxarray-geotiffdataset]"] # Docs requirements docs = [ - "kedro-sphinx-theme==2024.4.0", + "kedro-sphinx-theme==2024.10.2", "ipykernel>=5.3, <7.0", "Jinja2<3.2.0", ] @@ -208,7 +207,7 @@ test = [ "biopython~=1.73", "blacken-docs==1.9.2", "black~=22.0", - "cloudpickle<=2.2.1", + "cloudpickle<=2.0.0", "compress-pickle[lz4]~=2.1.0", "coverage>=7.2.0", "dask[complete]>=2021.10", @@ -216,8 +215,9 @@ test = [ "deltalake>=0.10.0", "dill~=0.3.1", "filelock>=3.4.0, <4.0", + "fiona >=1.8, <2.0", "gcsfs>=2023.1, <2023.3", - "geopandas>=0.6.0, <1.0", + "geopandas>=0.8.0, <2.0", "hdfs>=2.5.8, <3.0", "holoviews>=1.13.0", "ibis-framework[duckdb,examples]", @@ -244,7 +244,6 @@ test = [ "pyarrow>=1.0; python_version < '3.11'", "pyarrow>=7.0; python_version >= '3.11'", # Adding to avoid numpy build errors "pyodbc~=5.0", - "pyproj~=3.0", "pyspark>=3.0; python_version < '3.11'", "pyspark>=3.4; python_version >= '3.11'", "pytest-cov~=3.0", @@ -256,7 +255,7 @@ test = [ "requests~=2.20", "ruff~=0.0.290", "s3fs>=2021.04", - "snowflake-snowpark-python~=1.23", + "snowflake-snowpark-python>=1.23; python_version < '3.12'", "scikit-learn>=1.0.2,<2", "scipy>=1.7.3", "packaging", From e3bf8207c430a2a035b63ba5e364881eba7ff009 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 21:10:51 +0200 Subject: [PATCH 37/88] update changelog Signed-off-by: tdhooghe --- kedro-datasets/RELEASE.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/kedro-datasets/RELEASE.md b/kedro-datasets/RELEASE.md index fe94686f6..fd42b6976 100755 --- a/kedro-datasets/RELEASE.md +++ b/kedro-datasets/RELEASE.md @@ -8,11 +8,16 @@ | --------------------------------- | ------------------------------------------------------ | ---------------------------------------- | | `databricks.ExternalTableDataset` | A dataset for accessing external tables in Databricks. | `kedro_datasets_experimental.databricks` | +- Added functionality to save Pandas DataFrame directly to Snowflake, facilitating seemless `.csv` ingestion +- Added Python 3.9, 3.10 and 3.11 support for SnowflakeTableDataset + ## Bug fixes and other changes +- Implemented Snowflake's (local testing framework)[https://docs.snowflake.com/en/developer-guide/snowpark/python/testing-locally] for testing purposes ## Breaking Changes ## Community contributions +- [Thomas d'Hooghe](https://github.com/tdhooghe) Many thanks to the following Kedroids for contributing PRs to this release: From 1e0f0c4dca4fcf01b8675f02d13d9b9d3056c028 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Mon, 21 Oct 2024 21:17:13 +0200 Subject: [PATCH 38/88] bump cloudpickle version to enable snowpark 1.23 Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 145ee953a..2cdc00eba 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -207,7 +207,7 @@ test = [ "biopython~=1.73", "blacken-docs==1.9.2", "black~=22.0", - "cloudpickle<=2.0.0", + "cloudpickle~=2.2.1", "compress-pickle[lz4]~=2.1.0", "coverage>=7.2.0", "dask[complete]>=2021.10", From 00832f768e2d16d54f807dfaa613a0ce860cc605 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 11:12:11 +0200 Subject: [PATCH 39/88] better formatting of release Signed-off-by: tdhooghe --- kedro-datasets/RELEASE.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/RELEASE.md b/kedro-datasets/RELEASE.md index fd42b6976..ef01d68ac 100755 --- a/kedro-datasets/RELEASE.md +++ b/kedro-datasets/RELEASE.md @@ -2,14 +2,14 @@ ## Major features and improvements +- Added functionality to save Pandas DataFrame directly to Snowflake, facilitating seemless `.csv` ingestion +- Added Python 3.9, 3.10 and 3.11 support for SnowflakeTableDataset - Added the following new **experimental** datasets: | Type | Description | Location | | --------------------------------- | ------------------------------------------------------ | ---------------------------------------- | | `databricks.ExternalTableDataset` | A dataset for accessing external tables in Databricks. | `kedro_datasets_experimental.databricks` | -- Added functionality to save Pandas DataFrame directly to Snowflake, facilitating seemless `.csv` ingestion -- Added Python 3.9, 3.10 and 3.11 support for SnowflakeTableDataset ## Bug fixes and other changes - Implemented Snowflake's (local testing framework)[https://docs.snowflake.com/en/developer-guide/snowpark/python/testing-locally] for testing purposes From db5554e9444be3ef60f137fa0e90401ce673d6ff Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 11:38:59 +0200 Subject: [PATCH 40/88] skip tests if python geq 3.12 as not supported by snowpark Signed-off-by: tdhooghe --- .github/workflows/kedro-datasets.yml | 2 +- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 5 +++++ 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/.github/workflows/kedro-datasets.yml b/.github/workflows/kedro-datasets.yml index 202e4d04b..d5aae0282 100644 --- a/.github/workflows/kedro-datasets.yml +++ b/.github/workflows/kedro-datasets.yml @@ -22,7 +22,7 @@ jobs: strategy: matrix: os: [ ubuntu-latest, windows-latest ] - python-version: [ "3.10", "3.11" ] + python-version: [ "3.10", "3.11", "3.12" ] uses: ./.github/workflows/unit-tests.yml with: plugin: kedro-datasets diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index af92f20bd..3758b6efc 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,4 +1,5 @@ import datetime +import sys import pandas as pd import pytest @@ -120,6 +121,10 @@ def sample_pd_df() -> pd.DataFrame: ) +@pytest.mark.skipif( + sys.version_info >= (3, 12), + reason="Tests are not supported for Python versions >= 3.12", +) class TestSnowparkTableDataset: """Tests for the SnowparkTableDataset functionality.""" From 6230dfbd392cc9eb5720777ea56fa97d403b69b5 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 11:52:02 +0200 Subject: [PATCH 41/88] try except block for snowpark imports Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 27 +++++++++++-------- 1 file changed, 16 insertions(+), 11 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 3758b6efc..f9cc976a2 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -3,18 +3,23 @@ import pandas as pd import pytest -from snowflake.snowpark import DataFrame -from snowflake.snowpark.session import Session -from snowflake.snowpark.types import ( - DateType, - FloatType, - IntegerType, - StringType, - StructField, - StructType, - TimestampType, -) +# needed for pytest to skip tests for python versions >= 3.12 +try: + from snowflake.snowpark import DataFrame, Session + from snowflake.snowpark.types import ( + DateType, + FloatType, + IntegerType, + StringType, + StructField, + StructType, + TimestampType, + ) + + SNOWPARK_AVAILABLE = True +except ImportError: + SNOWPARK_AVAILABLE = False from kedro_datasets.snowflake.snowpark_dataset import SnowparkTableDataset # Example dummy configuration for testing From edd2703f6f59a81ea74e4a6ac1e0c4f989dd89c1 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 12:02:20 +0200 Subject: [PATCH 42/88] put name in right place Signed-off-by: tdhooghe --- kedro-datasets/RELEASE.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/RELEASE.md b/kedro-datasets/RELEASE.md index ef01d68ac..c9a0eb0b0 100755 --- a/kedro-datasets/RELEASE.md +++ b/kedro-datasets/RELEASE.md @@ -17,10 +17,10 @@ ## Breaking Changes ## Community contributions -- [Thomas d'Hooghe](https://github.com/tdhooghe) Many thanks to the following Kedroids for contributing PRs to this release: +- [Thomas d'Hooghe](https://github.com/tdhooghe) - [Minura Punchihewa](https://github.com/MinuraPunchihewa) # Release 5.1.0 From 94d7360ce89173376ad130e6ae335470ce17d140 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 12:07:15 +0200 Subject: [PATCH 43/88] add import of snowflaketabledataset in try except block as well Signed-off-by: tdhooghe --- .../kedro_datasets/snowflake/snowpark_dataset.py | 8 ++++++-- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 8 +++----- 2 files changed, 9 insertions(+), 7 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index fdf1b9f9b..d8db96acf 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -8,7 +8,11 @@ import pandas as pd import snowflake.snowpark as sp from kedro.io.core import AbstractDataset, DatasetError + + from snowflake.snowpark import DataFrame, Session +from snowflake.snowpark import context as sp_context +from snowflake.snowpark import exceptions as sp_exceptions logger = logging.getLogger(__name__) @@ -205,10 +209,10 @@ def _get_session(connection_parameters) -> Session: """ try: logger.debug("Trying to reuse active snowpark session...") - session = sp.context.get_active_session() + session = sp_context.get_active_session() except sp.exceptions.SnowparkSessionException: logger.debug("No active snowpark session found. Creating...") - session = sp.Session.builder.configs(connection_parameters).create() + session = Session.builder.configs(connection_parameters).create() return session @property diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index f9cc976a2..a0e7006c9 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -16,11 +16,9 @@ StructType, TimestampType, ) - - SNOWPARK_AVAILABLE = True -except ImportError: - SNOWPARK_AVAILABLE = False -from kedro_datasets.snowflake.snowpark_dataset import SnowparkTableDataset + from kedro_datasets.snowflake.snowpark_dataset import SnowparkTableDataset +except ImportError as e: + print(f"Snowpark not supported in Python version {sys.version_info} : {e}") # Example dummy configuration for testing DUMMY_CREDENTIALS = { From 7a014c4c7310b9a0d9a15633327cb3027ddd7359 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 12:12:31 +0200 Subject: [PATCH 44/88] add if statement to only execute code when snowpark is available Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 202 +++++++++--------- 1 file changed, 101 insertions(+), 101 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index a0e7006c9..158715e19 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -4,7 +4,8 @@ import pandas as pd import pytest -# needed for pytest to skip tests for python versions >= 3.12 +SNOWPARK_AVAILABLE = False + try: from snowflake.snowpark import DataFrame, Session from snowflake.snowpark.types import ( @@ -16,113 +17,112 @@ StructType, TimestampType, ) + from kedro_datasets.snowflake.snowpark_dataset import SnowparkTableDataset -except ImportError as e: - print(f"Snowpark not supported in Python version {sys.version_info} : {e}") - -# Example dummy configuration for testing -DUMMY_CREDENTIALS = { - "account": "DUMMY_ACCOUNT", - "warehouse": "DUMMY_WAREHOUSE", - "database": "DUMMY_DATABASE", - "schema": "DUMMY_SCHEMA", - "user": "DUMMY_USER", - "password": "DUMMY_PASSWORD", -} - - -@pytest.fixture(scope="module") -def local_snowpark_session() -> Session: - """ - Creates a local Snowflake session for testing purposes. - See https://docs.snowflake.com/en/developer-guide/snowpark/python/testing-locally - - Returns: - Session: Snowflake session object configured for local testing. - """ - return Session.builder.config("local_testing", True).create() - - -@pytest.fixture(scope="module") -def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: - """ - Provides a SnowparkTableDataset fixture for testing. - - Args: - snowflake_session (Session): The Snowflake session used for this dataset. - - Returns: - SnowparkTableDataset: Dataset configuration for a Snowflake table. - """ - return SnowparkTableDataset( - table_name="DUMMY_TABLE", - credentials=DUMMY_CREDENTIALS, - session=local_snowpark_session, - save_args={"mode": "overwrite"}, - ) + SNOWPARK_AVAILABLE = True +except ImportError: + print(f"Snowpark not supported in Python version {sys.version_info}") + +if SNOWPARK_AVAILABLE: + # example dummy configuration for local testing + DUMMY_CREDENTIALS = { + "account": "DUMMY_ACCOUNT", + "warehouse": "DUMMY_WAREHOUSE", + "database": "DUMMY_DATABASE", + "schema": "DUMMY_SCHEMA", + "user": "DUMMY_USER", + "password": "DUMMY_PASSWORD", + } + + @pytest.fixture(scope="module") + def local_snowpark_session() -> Session: + """ + Creates a local Snowflake session for testing purposes. + See -@pytest.fixture -def sample_sp_df(local_snowpark_session: Session) -> DataFrame: - """ - Creates a sample Snowpark DataFrame for testing. - - Args: - snowflake_session (Session): Session to create the DataFrame. - - Returns: - snowpark.DataFrame: DataFrame with sample data and schema. - """ - return local_snowpark_session.create_dataframe( - [ - ( - "John", - 23, - datetime.date(1999, 12, 2), - 6.5, - datetime.datetime(2022, 12, 2, 13, 20, 1), - ), - ( - "Jane", - 41, - datetime.date(1981, 1, 3), - 5.7, - datetime.datetime(2022, 12, 2, 13, 21, 11), - ), - ], - schema=StructType( - [ - StructField("name", StringType()), - StructField("age", IntegerType()), - StructField("bday", DateType()), - StructField("height", FloatType()), - StructField("insert_dttm", TimestampType()), - ] - ), - ) + Returns: + Session: Snowflake session object configured for local testing. + """ + return Session.builder.config("local_testing", True).create() + + @pytest.fixture(scope="module") + def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: + """ + Provides a SnowparkTableDataset fixture for testing. + + Args: + snowflake_session (Session): The Snowflake session used for this dataset. + + Returns: + SnowparkTableDataset: Dataset configuration for a Snowflake table. + """ + return SnowparkTableDataset( + table_name="DUMMY_TABLE", + credentials=DUMMY_CREDENTIALS, + session=local_snowpark_session, + save_args={"mode": "overwrite"}, + ) + + @pytest.fixture + def sample_sp_df(local_snowpark_session: Session) -> DataFrame: + """ + Creates a sample Snowpark DataFrame for testing. + Args: + snowflake_session (Session): Session to create the DataFrame. -@pytest.fixture -def sample_pd_df() -> pd.DataFrame: - """ - Creates a sample Pandas DataFrame for testing. - - Returns: - pd.DataFrame: DataFrame with sample data. - """ - return pd.DataFrame( - { - "name": ["Alice", "Bob"], - "age": [30, 40], - "bday": [datetime.date(1993, 1, 1), datetime.date(1983, 2, 2)], - "height": [5.5, 6.0], - "insert_dttm": [ - datetime.datetime(2023, 1, 1, 10, 0), - datetime.datetime(2023, 1, 1, 12, 0), + Returns: + snowpark.DataFrame: DataFrame with sample data and schema. + """ + return local_snowpark_session.create_dataframe( + [ + ( + "John", + 23, + datetime.date(1999, 12, 2), + 6.5, + datetime.datetime(2022, 12, 2, 13, 20, 1), + ), + ( + "Jane", + 41, + datetime.date(1981, 1, 3), + 5.7, + datetime.datetime(2022, 12, 2, 13, 21, 11), + ), ], - } - ) + schema=StructType( + [ + StructField("name", StringType()), + StructField("age", IntegerType()), + StructField("bday", DateType()), + StructField("height", FloatType()), + StructField("insert_dttm", TimestampType()), + ] + ), + ) + @pytest.fixture + def sample_pd_df() -> pd.DataFrame: + """ + Creates a sample Pandas DataFrame for testing. + + Returns: + pd.DataFrame: DataFrame with sample data. + """ + return pd.DataFrame( + { + "name": ["Alice", "Bob"], + "age": [30, 40], + "bday": [datetime.date(1993, 1, 1), datetime.date(1983, 2, 2)], + "height": [5.5, 6.0], + "insert_dttm": [ + datetime.datetime(2023, 1, 1, 10, 0), + datetime.datetime(2023, 1, 1, 12, 0), + ], + } + ) @pytest.mark.skipif( sys.version_info >= (3, 12), From 57ccd10f9e13d515891c3c32f5da4d2b5b605244 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 12:32:58 +0200 Subject: [PATCH 45/88] remove ignore of snowflake in makefile and update test execution logic Signed-off-by: tdhooghe --- Makefile | 7 - .../tests/snowflake/test_snowpark_dataset.py | 169 +++++++++--------- 2 files changed, 87 insertions(+), 89 deletions(-) diff --git a/Makefile b/Makefile index 324332972..aa843390d 100644 --- a/Makefile +++ b/Makefile @@ -46,12 +46,6 @@ sign-off: test-no-spark: dataset-doctests-no-spark cd kedro-datasets && pytest tests --no-cov --ignore tests/spark --ignore tests/databricks --numprocesses 4 --dist loadfile - -# kedro-datasets/snowflake tests skipped from default scope -test-snowflake-only: - cd kedro-datasets && pytest --no-cov --numprocesses 1 --dist loadfile -m snowflake - cd kedro-datasets && pytest kedro_datasets/snowflake --doctest-modules --doctest-continue-on-failure --no-cov - check-datasets-docs: cd kedro-datasets && python -m sphinx -WETan -j auto -D language=en -b linkcheck -d _build/doctrees docs/source _build/linkcheck @@ -73,7 +67,6 @@ dataset-doctest%: --ignore kedro_datasets/pandas/gbq_dataset.py \ --ignore kedro_datasets/partitions/partitioned_dataset.py \ --ignore kedro_datasets/redis/redis_dataset.py \ - --ignore kedro_datasets/snowflake/snowpark_dataset.py \ --ignore kedro_datasets/spark/spark_hive_dataset.py \ --ignore kedro_datasets/spark/spark_jdbc_dataset.py \ $(extra_pytest_arg${*}) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 158715e19..5f94669f3 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -24,7 +24,7 @@ except ImportError: print(f"Snowpark not supported in Python version {sys.version_info}") -if SNOWPARK_AVAILABLE: +if SNOWPARK_AVAILABLE and sys.version_info < (3, 12): # example dummy configuration for local testing DUMMY_CREDENTIALS = { "account": "DUMMY_ACCOUNT", @@ -124,84 +124,89 @@ def sample_pd_df() -> pd.DataFrame: } ) -@pytest.mark.skipif( - sys.version_info >= (3, 12), - reason="Tests are not supported for Python versions >= 3.12", -) -class TestSnowparkTableDataset: - """Tests for the SnowparkTableDataset functionality.""" - - def test_save_with_snowpark( - self, sample_sp_df: DataFrame, snowflake_dataset: SnowparkTableDataset - ) -> None: - """Tests saving a Snowpark DataFrame to a Snowflake table. - - Args: - sample_sp_df (snowpark.DataFrame): Sample data to save. - snowflake_dataset (SnowparkTableDataset): Dataset to test. - - Asserts: - The count of the loaded DataFrame matches the saved DataFrame. - """ - snowflake_dataset.save(sample_sp_df) - loaded_df = snowflake_dataset.load() - assert loaded_df.count() == sample_sp_df.count() - - def test_save_with_pandas( - self, sample_pd_df: pd.DataFrame, snowflake_dataset: SnowparkTableDataset - ) -> None: - """ - Tests saving a Pandas DataFrame to a Snowflake table. - - Args: - sample_pd_df (pd.DataFrame): Sample data to save. - snowflake_dataset (SnowparkTableDataset): Dataset to test. - - Asserts: - The count of the loaded DataFrame matches the number of rows in the Pandas DataFrame. - """ - snowflake_dataset.save(sample_pd_df) - loaded_df = snowflake_dataset.load() - assert loaded_df.count() == len(sample_pd_df) - - def test_load( - self, snowflake_dataset: SnowparkTableDataset, sample_sp_df: DataFrame - ) -> None: - """ - Tests loading data from a Snowflake table. - - Args: - snowflake_dataset (SnowparkTableDataset): Dataset to load data from. - sample_sp_df (snowpark.DataFrame): Sample data for reference. - - Asserts: - The count of the loaded DataFrame matches the reference sample DataFrame. - """ - loaded_df = snowflake_dataset.load() - assert loaded_df.count() == sample_sp_df.count() - - def test_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: - """ - Tests if a Snowflake table exists. - - Args: - snowflake_dataset (SnowparkTableDataset): Dataset to check existence. - - Asserts: - The dataset table exists in the Snowflake environment. - """ - exists = snowflake_dataset._exists() - assert exists - - def test_not_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: - """ - Tests if a non-existent Snowflake table is detected. - Args: - snowflake_dataset (SnowparkTableDataset): Dataset to check existence. - - Asserts: - The dataset table does not exist in the Snowflake environment. - """ - snowflake_dataset._table_name = "NON_EXISTENT_TABLE" - exists = snowflake_dataset._exists() - assert not exists + class TestSnowparkTableDataset: + """Tests for the SnowparkTableDataset functionality.""" + + def test_save_with_snowpark( + self, sample_sp_df: DataFrame, snowflake_dataset: SnowparkTableDataset + ) -> None: + """Tests saving a Snowpark DataFrame to a Snowflake table. + + Args: + sample_sp_df (snowpark.DataFrame): Sample data to save. + snowflake_dataset (SnowparkTableDataset): Dataset to test. + + Asserts: + The count of the loaded DataFrame matches the saved DataFrame. + """ + snowflake_dataset.save(sample_sp_df) + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == sample_sp_df.count() + + def test_save_with_pandas( + self, sample_pd_df: pd.DataFrame, snowflake_dataset: SnowparkTableDataset + ) -> None: + """ + Tests saving a Pandas DataFrame to a Snowflake table. + + Args: + sample_pd_df (pd.DataFrame): Sample data to save. + snowflake_dataset (SnowparkTableDataset): Dataset to test. + + Asserts: + The count of the loaded DataFrame matches the number of rows in the Pandas DataFrame. + """ + snowflake_dataset.save(sample_pd_df) + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == len(sample_pd_df) + + def test_load( + self, snowflake_dataset: SnowparkTableDataset, sample_sp_df: DataFrame + ) -> None: + """ + Tests loading data from a Snowflake table. + + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to load data from. + sample_sp_df (snowpark.DataFrame): Sample data for reference. + + Asserts: + The count of the loaded DataFrame matches the reference sample DataFrame. + """ + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == sample_sp_df.count() + + def test_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: + """ + Tests if a Snowflake table exists. + + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to check existence. + + Asserts: + The dataset table exists in the Snowflake environment. + """ + exists = snowflake_dataset._exists() + assert exists + + def test_not_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: + """ + Tests if a non-existent Snowflake table is detected. + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to check existence. + + Asserts: + The dataset table does not exist in the Snowflake environment. + """ + snowflake_dataset._table_name = "NON_EXISTENT_TABLE" + exists = snowflake_dataset._exists() + assert not exists + +elif sys.version_info >= (3, 12): + + @pytest.mark.skip( + reason="Snowpark not supported in this Python versions higher than 3.11" + ) + class TestSnowparkTableDataset: + def test_skip(self): + pass From f09c96ea4ff227cf3d13056bff74d2b8db46bc53 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 12:45:13 +0200 Subject: [PATCH 46/88] change makefile to include snowflake doctest Signed-off-by: tdhooghe --- Makefile | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/Makefile b/Makefile index aa843390d..f2572c715 100644 --- a/Makefile +++ b/Makefile @@ -56,12 +56,20 @@ dataset-tests: dataset-doctests extra_pytest_args-no-spark=--ignore kedro_datasets/databricks --ignore kedro_datasets/spark extra_pytest_args= + dataset-doctest%: if [ "${*}" != 's-no-spark' ] && [ "${*}" != 's' ]; then \ echo "make: *** No rule to make target \`${@}\`. Stop."; \ exit 2; \ fi; \ - \ + \ + # Check the Python version + PYTHON_VERSION=$$(python3 -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")'); \ + IGNORE_SNOWPARK=""; \ + if [ "$$PYTHON_VERSION" = "3.12" ]; then \ + IGNORE_SNOWPARK="--ignore kedro_datasets/snowflake/snowpark_dataset.py"; \ + fi; \ + \ # The ignored datasets below require complicated setup with cloud/database clients which is overkill for the doctest examples. cd kedro-datasets && pytest kedro_datasets --doctest-modules --doctest-continue-on-failure --no-cov \ --ignore kedro_datasets/pandas/gbq_dataset.py \ @@ -69,4 +77,5 @@ dataset-doctest%: --ignore kedro_datasets/redis/redis_dataset.py \ --ignore kedro_datasets/spark/spark_hive_dataset.py \ --ignore kedro_datasets/spark/spark_jdbc_dataset.py \ + $$IGNORE_SNOWPARK \ $(extra_pytest_arg${*}) From 698167dacdab5aaf6f89361b4e130ea4b3864730 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 12:57:43 +0200 Subject: [PATCH 47/88] add if statement also in original code Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 553 +++++++++--------- 1 file changed, 282 insertions(+), 271 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index d8db96acf..9555629ae 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -3,283 +3,294 @@ from __future__ import annotations import logging +import sys from typing import Any, cast import pandas as pd -import snowflake.snowpark as sp from kedro.io.core import AbstractDataset, DatasetError - -from snowflake.snowpark import DataFrame, Session -from snowflake.snowpark import context as sp_context -from snowflake.snowpark import exceptions as sp_exceptions - logger = logging.getLogger(__name__) +SNOWPARK_AVAILABLE = False + +try: + from snowflake.snowpark import DataFrame, Session + from snowflake.snowpark import context as sp_context + from snowflake.snowpark import exceptions as sp_exceptions +except ImportError as e: + logger.error( + f"Snowpark not supported in Python version {sys.version_info}. Error: {e}" + ) + +if SNOWPARK_AVAILABLE and sys.version_info < (3, 12): + + class SnowparkTableDataset(AbstractDataset): + """``SnowparkTableDataset`` loads and saves Snowpark dataframes. + + As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. Python 3.12 is not supported yet. + + Example usage for the + `YAML API `_: + + .. code-block:: yaml + + weather: + type: kedro_datasets.snowflake.SnowparkTableDataset + table_name: "weather_data" + database: "meteorology" + schema: "observations" + credentials: db_credentials + save_args: + mode: overwrite + column_order: name + table_type: '' + + You can skip everything but "table_name" if the database and + schema are provided via credentials. That way catalog entries can be shorter + if, for example, all used Snowflake tables live in same database/schema. + Values in the dataset definition take priority over those defined in credentials. + + Example: + Credentials file provides all connection attributes, catalog entry + "weather" reuses credentials parameters, "polygons" catalog entry reuses + all credentials parameters except providing a different schema name. + Second example of credentials file uses ``externalbrowser`` authentication. + + catalog.yml + + .. code-block:: yaml + + weather: + type: kedro_datasets.snowflake.SnowparkTableDataset + table_name: "weather_data" + database: "meteorology" + schema: "observations" + credentials: snowflake_client + save_args: + mode: overwrite + column_order: name + table_type: '' + + polygons: + type: kedro_datasets.snowflake.SnowparkTableDataset + table_name: "geopolygons" + credentials: snowflake_client + schema: "geodata" + + credentials.yml + + .. code-block:: yaml + + snowflake_client: + account: 'ab12345.eu-central-1' + port: 443 + warehouse: "datascience_wh" + database: "detailed_data" + schema: "observations" + user: "service_account_abc" + password: "supersecret" + + credentials.yml (with externalbrowser authenticator) + + .. code-block:: yaml + + snowflake_client: + account: 'ab12345.eu-central-1' + port: 443 + warehouse: "datascience_wh" + database: "detailed_data" + schema: "observations" + user: "john_doe@wdomain.com" + authenticator: "externalbrowser" - -class SnowparkTableDataset(AbstractDataset): - """``SnowparkTableDataset`` loads and saves Snowpark dataframes. - - As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. Python 3.12 is not supported yet. - - Example usage for the - `YAML API `_: - - .. code-block:: yaml - - weather: - type: kedro_datasets.snowflake.SnowparkTableDataset - table_name: "weather_data" - database: "meteorology" - schema: "observations" - credentials: db_credentials - save_args: - mode: overwrite - column_order: name - table_type: '' - - You can skip everything but "table_name" if the database and - schema are provided via credentials. That way catalog entries can be shorter - if, for example, all used Snowflake tables live in same database/schema. - Values in the dataset definition take priority over those defined in credentials. - - Example: - Credentials file provides all connection attributes, catalog entry - "weather" reuses credentials parameters, "polygons" catalog entry reuses - all credentials parameters except providing a different schema name. - Second example of credentials file uses ``externalbrowser`` authentication. - - catalog.yml - - .. code-block:: yaml - - weather: - type: kedro_datasets.snowflake.SnowparkTableDataset - table_name: "weather_data" - database: "meteorology" - schema: "observations" - credentials: snowflake_client - save_args: - mode: overwrite - column_order: name - table_type: '' - - polygons: - type: kedro_datasets.snowflake.SnowparkTableDataset - table_name: "geopolygons" - credentials: snowflake_client - schema: "geodata" - - credentials.yml - - .. code-block:: yaml - - snowflake_client: - account: 'ab12345.eu-central-1' - port: 443 - warehouse: "datascience_wh" - database: "detailed_data" - schema: "observations" - user: "service_account_abc" - password: "supersecret" - - credentials.yml (with externalbrowser authenticator) - - .. code-block:: yaml - - snowflake_client: - account: 'ab12345.eu-central-1' - port: 443 - warehouse: "datascience_wh" - database: "detailed_data" - schema: "observations" - user: "john_doe@wdomain.com" - authenticator: "externalbrowser" - - """ - - # this dataset cannot be used with ``ParallelRunner``, - # therefore it has the attribute ``_SINGLE_PROCESS = True`` - # for parallelism within a pipeline please consider - # ``ThreadRunner`` instead - _SINGLE_PROCESS = True - DEFAULT_LOAD_ARGS: dict[str, Any] = {} - DEFAULT_SAVE_ARGS: dict[str, Any] = {} - - def __init__( # noqa: PLR0913 - self, - *, - table_name: str, - schema: str | None = None, - database: str | None = None, - load_args: dict[str, Any] | None = None, - save_args: dict[str, Any] | None = None, - credentials: dict[str, Any] | None = None, - session: Session | None = None, - metadata: dict[str, Any] | None = None, - ) -> None: - """ - Creates a new instance of ``SnowparkTableDataset``. - - Args: - table_name: The table name to load or save data to. - schema: Name of the schema where ``table_name`` is. - Optional as can be provided as part of ``credentials`` - dictionary. Argument value takes priority over one provided - in ``credentials`` if any. - database: Name of the database where ``schema`` is. - Optional as can be provided as part of ``credentials`` - dictionary. Argument value takes priority over one provided - in ``credentials`` if any. - load_args: Currently not used - save_args: Provided to underlying snowpark ``save_as_table`` - To find all supported arguments, see here: - https://docs.snowflake.com/en/developer-guide/snowpark/reference/python/api/snowflake.snowpark.DataFrameWriter.saveAsTable.html - credentials: A dictionary with a snowpark connection string. - To find all supported arguments, see here: - https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect - metadata: Any arbitrary metadata. - This is ignored by Kedro, but may be consumed by users or external plugins. - """ - - if not table_name: - raise DatasetError("'table_name' argument cannot be empty.") - - if not credentials: - raise DatasetError("'credentials' argument cannot be empty.") - - if not database: - if not ("database" in credentials and credentials["database"]): - raise DatasetError( - "'database' must be provided by credentials or dataset." - ) - database = credentials["database"] - - if not schema: - if not ("schema" in credentials and credentials["schema"]): - raise DatasetError( - "'schema' must be provided by credentials or dataset." - ) - schema = credentials["schema"] - # Handle default load and save arguments - self._load_args = {**self.DEFAULT_LOAD_ARGS, **(load_args or {})} - self._save_args = {**self.DEFAULT_SAVE_ARGS, **(save_args or {})} - - self._table_name = table_name - self._database = database - self._schema = schema - self.__session = session or self._get_session(credentials) # for testing - - connection_parameters = credentials - connection_parameters.update( - {"database": self._database, "schema": self._schema} - ) - self._connection_parameters = connection_parameters - - self.metadata = metadata - - def _describe(self) -> dict[str, Any]: - return { - "table_name": self._table_name, - "database": self._database, - "schema": self._schema, - } - - @staticmethod - def _get_session(connection_parameters) -> Session: - """ - Given a connection string, create singleton connection - to be used across all instances of `SnowparkTableDataset` that - need to connect to the same source. - connection_parameters is a dictionary of any values - supported by snowflake python connector: - https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect - example: - connection_parameters = { - "account": "", - "user": "", - "password": "", (optional) - "role": "", (optional) - "warehouse": "", (optional) - "database": "", (optional) - "schema": "", (optional) - "authenticator: "" (optional) - } - """ - try: - logger.debug("Trying to reuse active snowpark session...") - session = sp_context.get_active_session() - except sp.exceptions.SnowparkSessionException: - logger.debug("No active snowpark session found. Creating...") - session = Session.builder.configs(connection_parameters).create() - return session - - @property - def _session(self) -> Session: - """ - Retrieve or create a session. - - Returns: - Session: The current session associated with the object. - """ - if not self.__session: - self.__session = self._get_session(self._connection_parameters) - return self.__session - - def load(self) -> DataFrame: - """ - Load data from a specified database table. - - Returns: - DataFrame: The loaded data as a Snowpark DataFrame. - """ - return self._session.table(self._validate_and_get_table_name()) - - def save(self, data: pd.DataFrame | DataFrame) -> None: - """ - Save data to a specified database table. - - Args: - data (pd.DataFrame | DataFrame): The data to save. - """ - if isinstance(data, pd.DataFrame): - data = self._session.create_dataframe(data) - - data.write.save_as_table(self._validate_and_get_table_name(), **self._save_args) - - def _exists(self) -> bool: - """ - Check if a specified table exists in the database. - - Returns: - bool: True if the table exists, False otherwise. - """ - try: - self._session.table( - f"{self._database}.{self._schema}.{self._table_name}" - ).show() - return True - except Exception as e: - logger.debug(f"Table {self._table_name} does not exist: {e}") - return False - - def _validate_and_get_table_name(self) -> str: - """ - Validate that all parts of the table name are not None and join them into a string. - - Args: - parts (list[str | None]): The list containing database, schema, and table name. - - Returns: - str: The joined table name in the format 'database.schema.table'. - - Raises: - ValueError: If any part of the table name is None. """ - parts: list[str | None] = [self._database, self._schema, self._table_name] - if any(part is None for part in parts): - raise ValueError(f"Table name parts cannot be None: {parts}") - parts_str = cast(list[str], parts) # make linting happy - return ".".join(parts_str) + # this dataset cannot be used with ``ParallelRunner``, + # therefore it has the attribute ``_SINGLE_PROCESS = True`` + # for parallelism within a pipeline please consider + # ``ThreadRunner`` instead + _SINGLE_PROCESS = True + DEFAULT_LOAD_ARGS: dict[str, Any] = {} + DEFAULT_SAVE_ARGS: dict[str, Any] = {} + + def __init__( # noqa: PLR0913 + self, + *, + table_name: str, + schema: str | None = None, + database: str | None = None, + load_args: dict[str, Any] | None = None, + save_args: dict[str, Any] | None = None, + credentials: dict[str, Any] | None = None, + session: Session | None = None, + metadata: dict[str, Any] | None = None, + ) -> None: + """ + Creates a new instance of ``SnowparkTableDataset``. + + Args: + table_name: The table name to load or save data to. + schema: Name of the schema where ``table_name`` is. + Optional as can be provided as part of ``credentials`` + dictionary. Argument value takes priority over one provided + in ``credentials`` if any. + database: Name of the database where ``schema`` is. + Optional as can be provided as part of ``credentials`` + dictionary. Argument value takes priority over one provided + in ``credentials`` if any. + load_args: Currently not used + save_args: Provided to underlying snowpark ``save_as_table`` + To find all supported arguments, see here: + https://docs.snowflake.com/en/developer-guide/snowpark/reference/python/api/snowflake.snowpark.DataFrameWriter.saveAsTable.html + credentials: A dictionary with a snowpark connection string. + To find all supported arguments, see here: + https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect + metadata: Any arbitrary metadata. + This is ignored by Kedro, but may be consumed by users or external plugins. + """ + + if not table_name: + raise DatasetError("'table_name' argument cannot be empty.") + + if not credentials: + raise DatasetError("'credentials' argument cannot be empty.") + + if not database: + if not ("database" in credentials and credentials["database"]): + raise DatasetError( + "'database' must be provided by credentials or dataset." + ) + database = credentials["database"] + + if not schema: + if not ("schema" in credentials and credentials["schema"]): + raise DatasetError( + "'schema' must be provided by credentials or dataset." + ) + schema = credentials["schema"] + # Handle default load and save arguments + self._load_args = {**self.DEFAULT_LOAD_ARGS, **(load_args or {})} + self._save_args = {**self.DEFAULT_SAVE_ARGS, **(save_args or {})} + + self._table_name = table_name + self._database = database + self._schema = schema + self.__session = session or self._get_session(credentials) # for testing + + connection_parameters = credentials + connection_parameters.update( + {"database": self._database, "schema": self._schema} + ) + self._connection_parameters = connection_parameters + + self.metadata = metadata + + def _describe(self) -> dict[str, Any]: + return { + "table_name": self._table_name, + "database": self._database, + "schema": self._schema, + } + + @staticmethod + def _get_session(connection_parameters) -> Session: + """ + Given a connection string, create singleton connection + to be used across all instances of `SnowparkTableDataset` that + need to connect to the same source. + connection_parameters is a dictionary of any values + supported by snowflake python connector: + https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect + example: + connection_parameters = { + "account": "", + "user": "", + "password": "", (optional) + "role": "", (optional) + "warehouse": "", (optional) + "database": "", (optional) + "schema": "", (optional) + "authenticator: "" (optional) + } + """ + try: + logger.debug("Trying to reuse active snowpark session...") + session = sp_context.get_active_session() + except sp_exceptions.SnowparkSessionException: + logger.debug("No active snowpark session found. Creating...") + session = Session.builder.configs(connection_parameters).create() + return session + + @property + def _session(self) -> Session: + """ + Retrieve or create a session. + + Returns: + Session: The current session associated with the object. + """ + if not self.__session: + self.__session = self._get_session(self._connection_parameters) + return self.__session + + def load(self) -> DataFrame: + """ + Load data from a specified database table. + + Returns: + DataFrame: The loaded data as a Snowpark DataFrame. + """ + return self._session.table(self._validate_and_get_table_name()) + + def save(self, data: pd.DataFrame | DataFrame) -> None: + """ + Save data to a specified database table. + + Args: + data (pd.DataFrame | DataFrame): The data to save. + """ + if isinstance(data, pd.DataFrame): + data = self._session.create_dataframe(data) + + data.write.save_as_table( + self._validate_and_get_table_name(), **self._save_args + ) + + def _exists(self) -> bool: + """ + Check if a specified table exists in the database. + + Returns: + bool: True if the table exists, False otherwise. + """ + try: + self._session.table( + f"{self._database}.{self._schema}.{self._table_name}" + ).show() + return True + except Exception as e: + logger.debug(f"Table {self._table_name} does not exist: {e}") + return False + + def _validate_and_get_table_name(self) -> str: + """ + Validate that all parts of the table name are not None and join them into a string. + + Args: + parts (list[str | None]): The list containing database, schema, and table name. + + Returns: + str: The joined table name in the format 'database.schema.table'. + + Raises: + ValueError: If any part of the table name is None. + """ + parts: list[str | None] = [self._database, self._schema, self._table_name] + if any(part is None for part in parts): + raise ValueError(f"Table name parts cannot be None: {parts}") + + parts_str = cast(list[str], parts) # make linting happy + return ".".join(parts_str) + +elif sys.version_info >= (3, 12): + raise NotImplementedError("Snowpark is not supported in Python 3.12 yet") From 5a0dcf87a23335927ce3b7a1fe79573e9364e2b4 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 13:03:13 +0200 Subject: [PATCH 48/88] add snowflake available after succesful import Signed-off-by: tdhooghe --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 9555629ae..9a981f110 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -16,6 +16,8 @@ from snowflake.snowpark import DataFrame, Session from snowflake.snowpark import context as sp_context from snowflake.snowpark import exceptions as sp_exceptions + + SNOWPARK_AVAILABLE = True except ImportError as e: logger.error( f"Snowpark not supported in Python version {sys.version_info}. Error: {e}" From 076921e2de6430c554f78d5ce147422445b25bf0 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 13:10:24 +0200 Subject: [PATCH 49/88] remove try except blocks in code Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 551 +++++++++--------- .../tests/snowflake/test_snowpark_dataset.py | 360 ++++++------ 2 files changed, 442 insertions(+), 469 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 9a981f110..21a65b887 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -3,7 +3,6 @@ from __future__ import annotations import logging -import sys from typing import Any, cast import pandas as pd @@ -12,287 +11,275 @@ logger = logging.getLogger(__name__) SNOWPARK_AVAILABLE = False -try: - from snowflake.snowpark import DataFrame, Session - from snowflake.snowpark import context as sp_context - from snowflake.snowpark import exceptions as sp_exceptions - - SNOWPARK_AVAILABLE = True -except ImportError as e: - logger.error( - f"Snowpark not supported in Python version {sys.version_info}. Error: {e}" - ) - -if SNOWPARK_AVAILABLE and sys.version_info < (3, 12): - - class SnowparkTableDataset(AbstractDataset): - """``SnowparkTableDataset`` loads and saves Snowpark dataframes. - - As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. Python 3.12 is not supported yet. - - Example usage for the - `YAML API `_: - - .. code-block:: yaml - - weather: - type: kedro_datasets.snowflake.SnowparkTableDataset - table_name: "weather_data" - database: "meteorology" - schema: "observations" - credentials: db_credentials - save_args: - mode: overwrite - column_order: name - table_type: '' - - You can skip everything but "table_name" if the database and - schema are provided via credentials. That way catalog entries can be shorter - if, for example, all used Snowflake tables live in same database/schema. - Values in the dataset definition take priority over those defined in credentials. - - Example: - Credentials file provides all connection attributes, catalog entry - "weather" reuses credentials parameters, "polygons" catalog entry reuses - all credentials parameters except providing a different schema name. - Second example of credentials file uses ``externalbrowser`` authentication. - - catalog.yml - - .. code-block:: yaml - - weather: - type: kedro_datasets.snowflake.SnowparkTableDataset - table_name: "weather_data" - database: "meteorology" - schema: "observations" - credentials: snowflake_client - save_args: - mode: overwrite - column_order: name - table_type: '' - - polygons: - type: kedro_datasets.snowflake.SnowparkTableDataset - table_name: "geopolygons" - credentials: snowflake_client - schema: "geodata" - - credentials.yml - - .. code-block:: yaml - - snowflake_client: - account: 'ab12345.eu-central-1' - port: 443 - warehouse: "datascience_wh" - database: "detailed_data" - schema: "observations" - user: "service_account_abc" - password: "supersecret" - - credentials.yml (with externalbrowser authenticator) - - .. code-block:: yaml - - snowflake_client: - account: 'ab12345.eu-central-1' - port: 443 - warehouse: "datascience_wh" - database: "detailed_data" - schema: "observations" - user: "john_doe@wdomain.com" - authenticator: "externalbrowser" +from snowflake.snowpark import DataFrame, Session +from snowflake.snowpark import context as sp_context +from snowflake.snowpark import exceptions as sp_exceptions + + +class SnowparkTableDataset(AbstractDataset): + """``SnowparkTableDataset`` loads and saves Snowpark dataframes. + + As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. Python 3.12 is not supported yet. + + Example usage for the + `YAML API `_: + + .. code-block:: yaml + + weather: + type: kedro_datasets.snowflake.SnowparkTableDataset + table_name: "weather_data" + database: "meteorology" + schema: "observations" + credentials: db_credentials + save_args: + mode: overwrite + column_order: name + table_type: '' + + You can skip everything but "table_name" if the database and + schema are provided via credentials. That way catalog entries can be shorter + if, for example, all used Snowflake tables live in same database/schema. + Values in the dataset definition take priority over those defined in credentials. + + Example: + Credentials file provides all connection attributes, catalog entry + "weather" reuses credentials parameters, "polygons" catalog entry reuses + all credentials parameters except providing a different schema name. + Second example of credentials file uses ``externalbrowser`` authentication. + + catalog.yml + + .. code-block:: yaml + + weather: + type: kedro_datasets.snowflake.SnowparkTableDataset + table_name: "weather_data" + database: "meteorology" + schema: "observations" + credentials: snowflake_client + save_args: + mode: overwrite + column_order: name + table_type: '' + + polygons: + type: kedro_datasets.snowflake.SnowparkTableDataset + table_name: "geopolygons" + credentials: snowflake_client + schema: "geodata" + + credentials.yml + + .. code-block:: yaml + + snowflake_client: + account: 'ab12345.eu-central-1' + port: 443 + warehouse: "datascience_wh" + database: "detailed_data" + schema: "observations" + user: "service_account_abc" + password: "supersecret" + + credentials.yml (with externalbrowser authenticator) + + .. code-block:: yaml + + snowflake_client: + account: 'ab12345.eu-central-1' + port: 443 + warehouse: "datascience_wh" + database: "detailed_data" + schema: "observations" + user: "john_doe@wdomain.com" + authenticator: "externalbrowser" + + """ + + # this dataset cannot be used with ``ParallelRunner``, + # therefore it has the attribute ``_SINGLE_PROCESS = True`` + # for parallelism within a pipeline please consider + # ``ThreadRunner`` instead + _SINGLE_PROCESS = True + DEFAULT_LOAD_ARGS: dict[str, Any] = {} + DEFAULT_SAVE_ARGS: dict[str, Any] = {} + + def __init__( # noqa: PLR0913 + self, + *, + table_name: str, + schema: str | None = None, + database: str | None = None, + load_args: dict[str, Any] | None = None, + save_args: dict[str, Any] | None = None, + credentials: dict[str, Any] | None = None, + session: Session | None = None, + metadata: dict[str, Any] | None = None, + ) -> None: """ + Creates a new instance of ``SnowparkTableDataset``. + + Args: + table_name: The table name to load or save data to. + schema: Name of the schema where ``table_name`` is. + Optional as can be provided as part of ``credentials`` + dictionary. Argument value takes priority over one provided + in ``credentials`` if any. + database: Name of the database where ``schema`` is. + Optional as can be provided as part of ``credentials`` + dictionary. Argument value takes priority over one provided + in ``credentials`` if any. + load_args: Currently not used + save_args: Provided to underlying snowpark ``save_as_table`` + To find all supported arguments, see here: + https://docs.snowflake.com/en/developer-guide/snowpark/reference/python/api/snowflake.snowpark.DataFrameWriter.saveAsTable.html + credentials: A dictionary with a snowpark connection string. + To find all supported arguments, see here: + https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect + metadata: Any arbitrary metadata. + This is ignored by Kedro, but may be consumed by users or external plugins. + """ + + if not table_name: + raise DatasetError("'table_name' argument cannot be empty.") + + if not credentials: + raise DatasetError("'credentials' argument cannot be empty.") + + if not database: + if not ("database" in credentials and credentials["database"]): + raise DatasetError( + "'database' must be provided by credentials or dataset." + ) + database = credentials["database"] + + if not schema: + if not ("schema" in credentials and credentials["schema"]): + raise DatasetError( + "'schema' must be provided by credentials or dataset." + ) + schema = credentials["schema"] + # Handle default load and save arguments + self._load_args = {**self.DEFAULT_LOAD_ARGS, **(load_args or {})} + self._save_args = {**self.DEFAULT_SAVE_ARGS, **(save_args or {})} + + self._table_name = table_name + self._database = database + self._schema = schema + self.__session = session or self._get_session(credentials) # for testing + + connection_parameters = credentials + connection_parameters.update( + {"database": self._database, "schema": self._schema} + ) + self._connection_parameters = connection_parameters + + self.metadata = metadata + + def _describe(self) -> dict[str, Any]: + return { + "table_name": self._table_name, + "database": self._database, + "schema": self._schema, + } + + @staticmethod + def _get_session(connection_parameters) -> Session: + """ + Given a connection string, create singleton connection + to be used across all instances of `SnowparkTableDataset` that + need to connect to the same source. + connection_parameters is a dictionary of any values + supported by snowflake python connector: + https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect + example: + connection_parameters = { + "account": "", + "user": "", + "password": "", (optional) + "role": "", (optional) + "warehouse": "", (optional) + "database": "", (optional) + "schema": "", (optional) + "authenticator: "" (optional) + } + """ + try: + logger.debug("Trying to reuse active snowpark session...") + session = sp_context.get_active_session() + except sp_exceptions.SnowparkSessionException: + logger.debug("No active snowpark session found. Creating...") + session = Session.builder.configs(connection_parameters).create() + return session + + @property + def _session(self) -> Session: + """ + Retrieve or create a session. + + Returns: + Session: The current session associated with the object. + """ + if not self.__session: + self.__session = self._get_session(self._connection_parameters) + return self.__session + + def load(self) -> DataFrame: + """ + Load data from a specified database table. + + Returns: + DataFrame: The loaded data as a Snowpark DataFrame. + """ + return self._session.table(self._validate_and_get_table_name()) + + def save(self, data: pd.DataFrame | DataFrame) -> None: + """ + Save data to a specified database table. + + Args: + data (pd.DataFrame | DataFrame): The data to save. + """ + if isinstance(data, pd.DataFrame): + data = self._session.create_dataframe(data) + + data.write.save_as_table(self._validate_and_get_table_name(), **self._save_args) + + def _exists(self) -> bool: + """ + Check if a specified table exists in the database. + + Returns: + bool: True if the table exists, False otherwise. + """ + try: + self._session.table( + f"{self._database}.{self._schema}.{self._table_name}" + ).show() + return True + except Exception as e: + logger.debug(f"Table {self._table_name} does not exist: {e}") + return False + + def _validate_and_get_table_name(self) -> str: + """ + Validate that all parts of the table name are not None and join them into a string. + + Args: + parts (list[str | None]): The list containing database, schema, and table name. + + Returns: + str: The joined table name in the format 'database.schema.table'. + + Raises: + ValueError: If any part of the table name is None. + """ + parts: list[str | None] = [self._database, self._schema, self._table_name] + if any(part is None for part in parts): + raise ValueError(f"Table name parts cannot be None: {parts}") - # this dataset cannot be used with ``ParallelRunner``, - # therefore it has the attribute ``_SINGLE_PROCESS = True`` - # for parallelism within a pipeline please consider - # ``ThreadRunner`` instead - _SINGLE_PROCESS = True - DEFAULT_LOAD_ARGS: dict[str, Any] = {} - DEFAULT_SAVE_ARGS: dict[str, Any] = {} - - def __init__( # noqa: PLR0913 - self, - *, - table_name: str, - schema: str | None = None, - database: str | None = None, - load_args: dict[str, Any] | None = None, - save_args: dict[str, Any] | None = None, - credentials: dict[str, Any] | None = None, - session: Session | None = None, - metadata: dict[str, Any] | None = None, - ) -> None: - """ - Creates a new instance of ``SnowparkTableDataset``. - - Args: - table_name: The table name to load or save data to. - schema: Name of the schema where ``table_name`` is. - Optional as can be provided as part of ``credentials`` - dictionary. Argument value takes priority over one provided - in ``credentials`` if any. - database: Name of the database where ``schema`` is. - Optional as can be provided as part of ``credentials`` - dictionary. Argument value takes priority over one provided - in ``credentials`` if any. - load_args: Currently not used - save_args: Provided to underlying snowpark ``save_as_table`` - To find all supported arguments, see here: - https://docs.snowflake.com/en/developer-guide/snowpark/reference/python/api/snowflake.snowpark.DataFrameWriter.saveAsTable.html - credentials: A dictionary with a snowpark connection string. - To find all supported arguments, see here: - https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect - metadata: Any arbitrary metadata. - This is ignored by Kedro, but may be consumed by users or external plugins. - """ - - if not table_name: - raise DatasetError("'table_name' argument cannot be empty.") - - if not credentials: - raise DatasetError("'credentials' argument cannot be empty.") - - if not database: - if not ("database" in credentials and credentials["database"]): - raise DatasetError( - "'database' must be provided by credentials or dataset." - ) - database = credentials["database"] - - if not schema: - if not ("schema" in credentials and credentials["schema"]): - raise DatasetError( - "'schema' must be provided by credentials or dataset." - ) - schema = credentials["schema"] - # Handle default load and save arguments - self._load_args = {**self.DEFAULT_LOAD_ARGS, **(load_args or {})} - self._save_args = {**self.DEFAULT_SAVE_ARGS, **(save_args or {})} - - self._table_name = table_name - self._database = database - self._schema = schema - self.__session = session or self._get_session(credentials) # for testing - - connection_parameters = credentials - connection_parameters.update( - {"database": self._database, "schema": self._schema} - ) - self._connection_parameters = connection_parameters - - self.metadata = metadata - - def _describe(self) -> dict[str, Any]: - return { - "table_name": self._table_name, - "database": self._database, - "schema": self._schema, - } - - @staticmethod - def _get_session(connection_parameters) -> Session: - """ - Given a connection string, create singleton connection - to be used across all instances of `SnowparkTableDataset` that - need to connect to the same source. - connection_parameters is a dictionary of any values - supported by snowflake python connector: - https://docs.snowflake.com/en/user-guide/python-connector-api.html#connect - example: - connection_parameters = { - "account": "", - "user": "", - "password": "", (optional) - "role": "", (optional) - "warehouse": "", (optional) - "database": "", (optional) - "schema": "", (optional) - "authenticator: "" (optional) - } - """ - try: - logger.debug("Trying to reuse active snowpark session...") - session = sp_context.get_active_session() - except sp_exceptions.SnowparkSessionException: - logger.debug("No active snowpark session found. Creating...") - session = Session.builder.configs(connection_parameters).create() - return session - - @property - def _session(self) -> Session: - """ - Retrieve or create a session. - - Returns: - Session: The current session associated with the object. - """ - if not self.__session: - self.__session = self._get_session(self._connection_parameters) - return self.__session - - def load(self) -> DataFrame: - """ - Load data from a specified database table. - - Returns: - DataFrame: The loaded data as a Snowpark DataFrame. - """ - return self._session.table(self._validate_and_get_table_name()) - - def save(self, data: pd.DataFrame | DataFrame) -> None: - """ - Save data to a specified database table. - - Args: - data (pd.DataFrame | DataFrame): The data to save. - """ - if isinstance(data, pd.DataFrame): - data = self._session.create_dataframe(data) - - data.write.save_as_table( - self._validate_and_get_table_name(), **self._save_args - ) - - def _exists(self) -> bool: - """ - Check if a specified table exists in the database. - - Returns: - bool: True if the table exists, False otherwise. - """ - try: - self._session.table( - f"{self._database}.{self._schema}.{self._table_name}" - ).show() - return True - except Exception as e: - logger.debug(f"Table {self._table_name} does not exist: {e}") - return False - - def _validate_and_get_table_name(self) -> str: - """ - Validate that all parts of the table name are not None and join them into a string. - - Args: - parts (list[str | None]): The list containing database, schema, and table name. - - Returns: - str: The joined table name in the format 'database.schema.table'. - - Raises: - ValueError: If any part of the table name is None. - """ - parts: list[str | None] = [self._database, self._schema, self._table_name] - if any(part is None for part in parts): - raise ValueError(f"Table name parts cannot be None: {parts}") - - parts_str = cast(list[str], parts) # make linting happy - return ".".join(parts_str) - -elif sys.version_info >= (3, 12): - raise NotImplementedError("Snowpark is not supported in Python 3.12 yet") + parts_str = cast(list[str], parts) # make linting happy + return ".".join(parts_str) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 5f94669f3..9e0fc78ba 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,212 +1,198 @@ import datetime -import sys import pandas as pd import pytest +from snowflake.snowpark import DataFrame, Session +from snowflake.snowpark.types import ( + DateType, + FloatType, + IntegerType, + StringType, + StructField, + StructType, + TimestampType, +) + +from kedro_datasets.snowflake.snowpark_dataset import SnowparkTableDataset + +# example dummy configuration for local testing +DUMMY_CREDENTIALS = { + "account": "DUMMY_ACCOUNT", + "warehouse": "DUMMY_WAREHOUSE", + "database": "DUMMY_DATABASE", + "schema": "DUMMY_SCHEMA", + "user": "DUMMY_USER", + "password": "DUMMY_PASSWORD", +} + + +@pytest.fixture(scope="module") +def local_snowpark_session() -> Session: + """ + Creates a local Snowflake session for testing purposes. + See + + Returns: + Session: Snowflake session object configured for local testing. + """ + return Session.builder.config("local_testing", True).create() + + +@pytest.fixture(scope="module") +def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: + """ + Provides a SnowparkTableDataset fixture for testing. + + Args: + snowflake_session (Session): The Snowflake session used for this dataset. + + Returns: + SnowparkTableDataset: Dataset configuration for a Snowflake table. + """ + return SnowparkTableDataset( + table_name="DUMMY_TABLE", + credentials=DUMMY_CREDENTIALS, + session=local_snowpark_session, + save_args={"mode": "overwrite"}, + ) + + +@pytest.fixture +def sample_sp_df(local_snowpark_session: Session) -> DataFrame: + """ + Creates a sample Snowpark DataFrame for testing. + + Args: + snowflake_session (Session): Session to create the DataFrame. + + Returns: + snowpark.DataFrame: DataFrame with sample data and schema. + """ + return local_snowpark_session.create_dataframe( + [ + ( + "John", + 23, + datetime.date(1999, 12, 2), + 6.5, + datetime.datetime(2022, 12, 2, 13, 20, 1), + ), + ( + "Jane", + 41, + datetime.date(1981, 1, 3), + 5.7, + datetime.datetime(2022, 12, 2, 13, 21, 11), + ), + ], + schema=StructType( + [ + StructField("name", StringType()), + StructField("age", IntegerType()), + StructField("bday", DateType()), + StructField("height", FloatType()), + StructField("insert_dttm", TimestampType()), + ] + ), + ) + -SNOWPARK_AVAILABLE = False - -try: - from snowflake.snowpark import DataFrame, Session - from snowflake.snowpark.types import ( - DateType, - FloatType, - IntegerType, - StringType, - StructField, - StructType, - TimestampType, +@pytest.fixture +def sample_pd_df() -> pd.DataFrame: + """ + Creates a sample Pandas DataFrame for testing. + + Returns: + pd.DataFrame: DataFrame with sample data. + """ + return pd.DataFrame( + { + "name": ["Alice", "Bob"], + "age": [30, 40], + "bday": [datetime.date(1993, 1, 1), datetime.date(1983, 2, 2)], + "height": [5.5, 6.0], + "insert_dttm": [ + datetime.datetime(2023, 1, 1, 10, 0), + datetime.datetime(2023, 1, 1, 12, 0), + ], + } ) - from kedro_datasets.snowflake.snowpark_dataset import SnowparkTableDataset - - SNOWPARK_AVAILABLE = True -except ImportError: - print(f"Snowpark not supported in Python version {sys.version_info}") - -if SNOWPARK_AVAILABLE and sys.version_info < (3, 12): - # example dummy configuration for local testing - DUMMY_CREDENTIALS = { - "account": "DUMMY_ACCOUNT", - "warehouse": "DUMMY_WAREHOUSE", - "database": "DUMMY_DATABASE", - "schema": "DUMMY_SCHEMA", - "user": "DUMMY_USER", - "password": "DUMMY_PASSWORD", - } - - @pytest.fixture(scope="module") - def local_snowpark_session() -> Session: + +class TestSnowparkTableDataset: + """Tests for the SnowparkTableDataset functionality.""" + + def test_save_with_snowpark( + self, sample_sp_df: DataFrame, snowflake_dataset: SnowparkTableDataset + ) -> None: + """Tests saving a Snowpark DataFrame to a Snowflake table. + + Args: + sample_sp_df (snowpark.DataFrame): Sample data to save. + snowflake_dataset (SnowparkTableDataset): Dataset to test. + + Asserts: + The count of the loaded DataFrame matches the saved DataFrame. + """ + snowflake_dataset.save(sample_sp_df) + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == sample_sp_df.count() + + def test_save_with_pandas( + self, sample_pd_df: pd.DataFrame, snowflake_dataset: SnowparkTableDataset + ) -> None: """ - Creates a local Snowflake session for testing purposes. - See + Tests saving a Pandas DataFrame to a Snowflake table. + + Args: + sample_pd_df (pd.DataFrame): Sample data to save. + snowflake_dataset (SnowparkTableDataset): Dataset to test. - Returns: - Session: Snowflake session object configured for local testing. + Asserts: + The count of the loaded DataFrame matches the number of rows in the Pandas DataFrame. """ - return Session.builder.config("local_testing", True).create() + snowflake_dataset.save(sample_pd_df) + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == len(sample_pd_df) - @pytest.fixture(scope="module") - def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: + def test_load( + self, snowflake_dataset: SnowparkTableDataset, sample_sp_df: DataFrame + ) -> None: """ - Provides a SnowparkTableDataset fixture for testing. + Tests loading data from a Snowflake table. Args: - snowflake_session (Session): The Snowflake session used for this dataset. + snowflake_dataset (SnowparkTableDataset): Dataset to load data from. + sample_sp_df (snowpark.DataFrame): Sample data for reference. - Returns: - SnowparkTableDataset: Dataset configuration for a Snowflake table. + Asserts: + The count of the loaded DataFrame matches the reference sample DataFrame. """ - return SnowparkTableDataset( - table_name="DUMMY_TABLE", - credentials=DUMMY_CREDENTIALS, - session=local_snowpark_session, - save_args={"mode": "overwrite"}, - ) - - @pytest.fixture - def sample_sp_df(local_snowpark_session: Session) -> DataFrame: + loaded_df = snowflake_dataset.load() + assert loaded_df.count() == sample_sp_df.count() + + def test_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: """ - Creates a sample Snowpark DataFrame for testing. + Tests if a Snowflake table exists. Args: - snowflake_session (Session): Session to create the DataFrame. + snowflake_dataset (SnowparkTableDataset): Dataset to check existence. - Returns: - snowpark.DataFrame: DataFrame with sample data and schema. + Asserts: + The dataset table exists in the Snowflake environment. """ - return local_snowpark_session.create_dataframe( - [ - ( - "John", - 23, - datetime.date(1999, 12, 2), - 6.5, - datetime.datetime(2022, 12, 2, 13, 20, 1), - ), - ( - "Jane", - 41, - datetime.date(1981, 1, 3), - 5.7, - datetime.datetime(2022, 12, 2, 13, 21, 11), - ), - ], - schema=StructType( - [ - StructField("name", StringType()), - StructField("age", IntegerType()), - StructField("bday", DateType()), - StructField("height", FloatType()), - StructField("insert_dttm", TimestampType()), - ] - ), - ) + exists = snowflake_dataset._exists() + assert exists - @pytest.fixture - def sample_pd_df() -> pd.DataFrame: + def test_not_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: """ - Creates a sample Pandas DataFrame for testing. + Tests if a non-existent Snowflake table is detected. + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to check existence. - Returns: - pd.DataFrame: DataFrame with sample data. + Asserts: + The dataset table does not exist in the Snowflake environment. """ - return pd.DataFrame( - { - "name": ["Alice", "Bob"], - "age": [30, 40], - "bday": [datetime.date(1993, 1, 1), datetime.date(1983, 2, 2)], - "height": [5.5, 6.0], - "insert_dttm": [ - datetime.datetime(2023, 1, 1, 10, 0), - datetime.datetime(2023, 1, 1, 12, 0), - ], - } - ) - - class TestSnowparkTableDataset: - """Tests for the SnowparkTableDataset functionality.""" - - def test_save_with_snowpark( - self, sample_sp_df: DataFrame, snowflake_dataset: SnowparkTableDataset - ) -> None: - """Tests saving a Snowpark DataFrame to a Snowflake table. - - Args: - sample_sp_df (snowpark.DataFrame): Sample data to save. - snowflake_dataset (SnowparkTableDataset): Dataset to test. - - Asserts: - The count of the loaded DataFrame matches the saved DataFrame. - """ - snowflake_dataset.save(sample_sp_df) - loaded_df = snowflake_dataset.load() - assert loaded_df.count() == sample_sp_df.count() - - def test_save_with_pandas( - self, sample_pd_df: pd.DataFrame, snowflake_dataset: SnowparkTableDataset - ) -> None: - """ - Tests saving a Pandas DataFrame to a Snowflake table. - - Args: - sample_pd_df (pd.DataFrame): Sample data to save. - snowflake_dataset (SnowparkTableDataset): Dataset to test. - - Asserts: - The count of the loaded DataFrame matches the number of rows in the Pandas DataFrame. - """ - snowflake_dataset.save(sample_pd_df) - loaded_df = snowflake_dataset.load() - assert loaded_df.count() == len(sample_pd_df) - - def test_load( - self, snowflake_dataset: SnowparkTableDataset, sample_sp_df: DataFrame - ) -> None: - """ - Tests loading data from a Snowflake table. - - Args: - snowflake_dataset (SnowparkTableDataset): Dataset to load data from. - sample_sp_df (snowpark.DataFrame): Sample data for reference. - - Asserts: - The count of the loaded DataFrame matches the reference sample DataFrame. - """ - loaded_df = snowflake_dataset.load() - assert loaded_df.count() == sample_sp_df.count() - - def test_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: - """ - Tests if a Snowflake table exists. - - Args: - snowflake_dataset (SnowparkTableDataset): Dataset to check existence. - - Asserts: - The dataset table exists in the Snowflake environment. - """ - exists = snowflake_dataset._exists() - assert exists - - def test_not_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: - """ - Tests if a non-existent Snowflake table is detected. - Args: - snowflake_dataset (SnowparkTableDataset): Dataset to check existence. - - Asserts: - The dataset table does not exist in the Snowflake environment. - """ - snowflake_dataset._table_name = "NON_EXISTENT_TABLE" - exists = snowflake_dataset._exists() - assert not exists - -elif sys.version_info >= (3, 12): - - @pytest.mark.skip( - reason="Snowpark not supported in this Python versions higher than 3.11" - ) - class TestSnowparkTableDataset: - def test_skip(self): - pass + snowflake_dataset._table_name = "NON_EXISTENT_TABLE" + exists = snowflake_dataset._exists() + assert not exists From 004c5e51d9cf7f8492c57cbb9488c66b5fe38805 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 13:21:59 +0200 Subject: [PATCH 50/88] echo python version for debugging Signed-off-by: tdhooghe --- Makefile | 1 + .../kedro_datasets/snowflake/snowpark_dataset.py | 7 ++----- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/Makefile b/Makefile index f2572c715..d77bdea0a 100644 --- a/Makefile +++ b/Makefile @@ -69,6 +69,7 @@ dataset-doctest%: if [ "$$PYTHON_VERSION" = "3.12" ]; then \ IGNORE_SNOWPARK="--ignore kedro_datasets/snowflake/snowpark_dataset.py"; \ fi; \ + echo "IGNORE_SNOWPARK is set to: $IGNORE_SNOWPARK"; \ \ # The ignored datasets below require complicated setup with cloud/database clients which is overkill for the doctest examples. cd kedro-datasets && pytest kedro_datasets --doctest-modules --doctest-continue-on-failure --no-cov \ diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 21a65b887..32772b0fc 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -7,15 +7,12 @@ import pandas as pd from kedro.io.core import AbstractDataset, DatasetError - -logger = logging.getLogger(__name__) -SNOWPARK_AVAILABLE = False - - from snowflake.snowpark import DataFrame, Session from snowflake.snowpark import context as sp_context from snowflake.snowpark import exceptions as sp_exceptions +logger = logging.getLogger(__name__) + class SnowparkTableDataset(AbstractDataset): """``SnowparkTableDataset`` loads and saves Snowpark dataframes. From a25b6930ed757f4b78862fb7319c4c3d340437ea Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 13:33:42 +0200 Subject: [PATCH 51/88] also skipifs for fixtures Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 25 +++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 9e0fc78ba..5fd4542c0 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,4 +1,5 @@ import datetime +import sys import pandas as pd import pytest @@ -27,6 +28,10 @@ @pytest.fixture(scope="module") +@pytest.mark.skipif( + sys.version_info > (3, 11), + reason="Snowpark is not supported in Python versions higher than 3.11", +) def local_snowpark_session() -> Session: """ Creates a local Snowflake session for testing purposes. @@ -39,6 +44,10 @@ def local_snowpark_session() -> Session: @pytest.fixture(scope="module") +@pytest.mark.skipif( + sys.version_info > (3, 11), + reason="Snowpark is not supported in Python versions higher than 3.11", +) def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: """ Provides a SnowparkTableDataset fixture for testing. @@ -57,7 +66,11 @@ def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: ) -@pytest.fixture +@pytest.fixture(scope="module") +@pytest.mark.skipif( + sys.version_info > (3, 11), + reason="Snowpark is not supported in Python versions higher than 3.11", +) def sample_sp_df(local_snowpark_session: Session) -> DataFrame: """ Creates a sample Snowpark DataFrame for testing. @@ -97,7 +110,11 @@ def sample_sp_df(local_snowpark_session: Session) -> DataFrame: ) -@pytest.fixture +@pytest.fixture(scope="module") +@pytest.mark.skipif( + sys.version_info > (3, 11), + reason="Snowpark is not supported in Python versions higher than 3.11", +) def sample_pd_df() -> pd.DataFrame: """ Creates a sample Pandas DataFrame for testing. @@ -119,6 +136,10 @@ def sample_pd_df() -> pd.DataFrame: ) +@pytest.mark.skipif( + sys.version_info > (3, 11), + reason="Snowpark is not supported in Python versions higher than 3.11", +) class TestSnowparkTableDataset: """Tests for the SnowparkTableDataset functionality.""" From fa00b6ed626b385c875096479f19d2450a1c61a8 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 13:35:37 +0200 Subject: [PATCH 52/88] echo python version in cicd Signed-off-by: tdhooghe --- Makefile | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/Makefile b/Makefile index d77bdea0a..fe79ff22d 100644 --- a/Makefile +++ b/Makefile @@ -69,7 +69,8 @@ dataset-doctest%: if [ "$$PYTHON_VERSION" = "3.12" ]; then \ IGNORE_SNOWPARK="--ignore kedro_datasets/snowflake/snowpark_dataset.py"; \ fi; \ - echo "IGNORE_SNOWPARK is set to: $IGNORE_SNOWPARK"; \ + echo "IGNORE_SNOWPARK is set to: $$IGNORE_SNOWPARK"; \ + echo "PYTHON_VERSION is set to: $$PYTHON_VERSION"; \ \ # The ignored datasets below require complicated setup with cloud/database clients which is overkill for the doctest examples. cd kedro-datasets && pytest kedro_datasets --doctest-modules --doctest-continue-on-failure --no-cov \ From 5e0c92a3312fb0fa1a49d1572138e8a746ddec74 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 13:52:55 +0200 Subject: [PATCH 53/88] try with different make rule Signed-off-by: tdhooghe --- Makefile | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/Makefile b/Makefile index fe79ff22d..ec5a4ec3f 100644 --- a/Makefile +++ b/Makefile @@ -72,12 +72,18 @@ dataset-doctest%: echo "IGNORE_SNOWPARK is set to: $$IGNORE_SNOWPARK"; \ echo "PYTHON_VERSION is set to: $$PYTHON_VERSION"; \ \ - # The ignored datasets below require complicated setup with cloud/database clients which is overkill for the doctest examples. - cd kedro-datasets && pytest kedro_datasets --doctest-modules --doctest-continue-on-failure --no-cov \ + # Build the pytest command + PYTEST_CMD="cd kedro-datasets && pytest kedro_datasets --doctest-modules --doctest-continue-on-failure --no-cov \ --ignore kedro_datasets/pandas/gbq_dataset.py \ --ignore kedro_datasets/partitions/partitioned_dataset.py \ --ignore kedro_datasets/redis/redis_dataset.py \ --ignore kedro_datasets/spark/spark_hive_dataset.py \ - --ignore kedro_datasets/spark/spark_jdbc_dataset.py \ - $$IGNORE_SNOWPARK \ - $(extra_pytest_arg${*}) + --ignore kedro_datasets/spark/spark_jdbc_dataset.py"; \ + \ + # Append IGNORE_SNOWPARK if it's set + if [ -n "$$IGNORE_SNOWPARK" ]; then \ + PYTEST_CMD="$$PYTEST_CMD $$IGNORE_SNOWPARK"; \ + fi; \ + \ + # Run pytest with optional extra arguments + $$PYTEST_CMD $(extra_pytest_arg${*}) From fbc275d5b20213a26b175f0466bd1afcebb67152 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 14:32:32 +0200 Subject: [PATCH 54/88] revert changes to makefile Signed-off-by: tdhooghe --- Makefile | 34 ++++++++++++---------------------- 1 file changed, 12 insertions(+), 22 deletions(-) diff --git a/Makefile b/Makefile index ec5a4ec3f..324332972 100644 --- a/Makefile +++ b/Makefile @@ -46,6 +46,12 @@ sign-off: test-no-spark: dataset-doctests-no-spark cd kedro-datasets && pytest tests --no-cov --ignore tests/spark --ignore tests/databricks --numprocesses 4 --dist loadfile + +# kedro-datasets/snowflake tests skipped from default scope +test-snowflake-only: + cd kedro-datasets && pytest --no-cov --numprocesses 1 --dist loadfile -m snowflake + cd kedro-datasets && pytest kedro_datasets/snowflake --doctest-modules --doctest-continue-on-failure --no-cov + check-datasets-docs: cd kedro-datasets && python -m sphinx -WETan -j auto -D language=en -b linkcheck -d _build/doctrees docs/source _build/linkcheck @@ -56,34 +62,18 @@ dataset-tests: dataset-doctests extra_pytest_args-no-spark=--ignore kedro_datasets/databricks --ignore kedro_datasets/spark extra_pytest_args= - dataset-doctest%: if [ "${*}" != 's-no-spark' ] && [ "${*}" != 's' ]; then \ echo "make: *** No rule to make target \`${@}\`. Stop."; \ exit 2; \ fi; \ - \ - # Check the Python version - PYTHON_VERSION=$$(python3 -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")'); \ - IGNORE_SNOWPARK=""; \ - if [ "$$PYTHON_VERSION" = "3.12" ]; then \ - IGNORE_SNOWPARK="--ignore kedro_datasets/snowflake/snowpark_dataset.py"; \ - fi; \ - echo "IGNORE_SNOWPARK is set to: $$IGNORE_SNOWPARK"; \ - echo "PYTHON_VERSION is set to: $$PYTHON_VERSION"; \ - \ - # Build the pytest command - PYTEST_CMD="cd kedro-datasets && pytest kedro_datasets --doctest-modules --doctest-continue-on-failure --no-cov \ + \ + # The ignored datasets below require complicated setup with cloud/database clients which is overkill for the doctest examples. + cd kedro-datasets && pytest kedro_datasets --doctest-modules --doctest-continue-on-failure --no-cov \ --ignore kedro_datasets/pandas/gbq_dataset.py \ --ignore kedro_datasets/partitions/partitioned_dataset.py \ --ignore kedro_datasets/redis/redis_dataset.py \ + --ignore kedro_datasets/snowflake/snowpark_dataset.py \ --ignore kedro_datasets/spark/spark_hive_dataset.py \ - --ignore kedro_datasets/spark/spark_jdbc_dataset.py"; \ - \ - # Append IGNORE_SNOWPARK if it's set - if [ -n "$$IGNORE_SNOWPARK" ]; then \ - PYTEST_CMD="$$PYTEST_CMD $$IGNORE_SNOWPARK"; \ - fi; \ - \ - # Run pytest with optional extra arguments - $$PYTEST_CMD $(extra_pytest_arg${*}) + --ignore kedro_datasets/spark/spark_jdbc_dataset.py \ + $(extra_pytest_arg${*}) From 6b3e3f3ba33f516ee8f31b30ad4dac9fa4222668 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 15:47:44 +0200 Subject: [PATCH 55/88] skip entire module pytest Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 4 ++-- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 8 ++++++++ 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 2cdc00eba..89e3a6867 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -8,7 +8,7 @@ authors = [ {name = "Kedro"} ] description = "Kedro-Datasets is where you can find all of Kedro's data connectors." -requires-python = ">=3.10" +requires-python = ">=3.12" license = {text = "Apache Software License (Apache 2.0)"} dependencies = [ "kedro>=0.19.7", @@ -228,7 +228,7 @@ test = [ "jupyterlab>=3.0", "jupyter~=1.0", "lxml~=4.6", - "matplotlib>=3.5, <3.6", + # "matplotlib>=3.5, <3.6", "memory_profiler>=0.50.0, <1.0", "moto==5.0.0", "mypy~=1.0", diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 5fd4542c0..908ef9dc9 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,6 +1,14 @@ import datetime import sys +import pytest + +if sys.version_info > (3, 11): + pytest.skip( + "Snowpark is not supported in Python versions higher than 3.11", + allow_module_level=True, + ) + import pandas as pd import pytest from snowflake.snowpark import DataFrame, Session From d464909cd92fdc68e108e8942faa2f2ca538181f Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 15:49:09 +0200 Subject: [PATCH 56/88] revert local changes Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 89e3a6867..2cdc00eba 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -8,7 +8,7 @@ authors = [ {name = "Kedro"} ] description = "Kedro-Datasets is where you can find all of Kedro's data connectors." -requires-python = ">=3.12" +requires-python = ">=3.10" license = {text = "Apache Software License (Apache 2.0)"} dependencies = [ "kedro>=0.19.7", @@ -228,7 +228,7 @@ test = [ "jupyterlab>=3.0", "jupyter~=1.0", "lxml~=4.6", - # "matplotlib>=3.5, <3.6", + "matplotlib>=3.5, <3.6", "memory_profiler>=0.50.0, <1.0", "moto==5.0.0", "mypy~=1.0", From 4810dc9462d72e4adddd277ea4d2099b5d4de4e9 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 16:04:34 +0200 Subject: [PATCH 57/88] make docstrings look nicer Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 36 +++++++++---------- 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 32772b0fc..1750609a2 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -63,36 +63,36 @@ class SnowparkTableDataset(AbstractDataset): table_type: '' polygons: - type: kedro_datasets.snowflake.SnowparkTableDataset - table_name: "geopolygons" - credentials: snowflake_client - schema: "geodata" + type: kedro_datasets.snowflake.SnowparkTableDataset + table_name: "geopolygons" + credentials: snowflake_client + schema: "geodata" credentials.yml .. code-block:: yaml snowflake_client: - account: 'ab12345.eu-central-1' - port: 443 - warehouse: "datascience_wh" - database: "detailed_data" - schema: "observations" - user: "service_account_abc" - password: "supersecret" + account: 'ab12345.eu-central-1' + port: 443 + warehouse: "datascience_wh" + database: "detailed_data" + schema: "observations" + user: "service_account_abc" + password: "supersecret" credentials.yml (with externalbrowser authenticator) .. code-block:: yaml snowflake_client: - account: 'ab12345.eu-central-1' - port: 443 - warehouse: "datascience_wh" - database: "detailed_data" - schema: "observations" - user: "john_doe@wdomain.com" - authenticator: "externalbrowser" + account: 'ab12345.eu-central-1' + port: 443 + warehouse: "datascience_wh" + database: "detailed_data" + schema: "observations" + user: "john_doe@wdomain.com" + authenticator: "externalbrowser" """ From 08864540a09f6e046eacc36a66a22bce56d5779c Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 16:14:36 +0200 Subject: [PATCH 58/88] improve docstring and remove ignore from dataset-doctest Signed-off-by: tdhooghe --- Makefile | 1 - .../snowflake/snowpark_dataset.py | 85 ++++++++++--------- 2 files changed, 43 insertions(+), 43 deletions(-) diff --git a/Makefile b/Makefile index 324332972..0b80cf3a1 100644 --- a/Makefile +++ b/Makefile @@ -73,7 +73,6 @@ dataset-doctest%: --ignore kedro_datasets/pandas/gbq_dataset.py \ --ignore kedro_datasets/partitions/partitioned_dataset.py \ --ignore kedro_datasets/redis/redis_dataset.py \ - --ignore kedro_datasets/snowflake/snowpark_dataset.py \ --ignore kedro_datasets/spark/spark_hive_dataset.py \ --ignore kedro_datasets/spark/spark_jdbc_dataset.py \ $(extra_pytest_arg${*}) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 1750609a2..d3c9ab339 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -15,9 +15,10 @@ class SnowparkTableDataset(AbstractDataset): - """``SnowparkTableDataset`` loads and saves Snowpark dataframes. + """``SnowparkTableDataset`` loads and saves Snowpark DataFrames. - As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. Python 3.12 is not supported yet. + As of October 2024, the Snowpark connector works with Python 3.9, 3.10, and 3.11. + Python 3.12 is not supported yet. Example usage for the `YAML API Date: Tue, 22 Oct 2024 16:35:42 +0200 Subject: [PATCH 59/88] add back ignore snowflake for doctesting and remove unexpected additions to pyproject.toml Signed-off-by: tdhooghe --- Makefile | 1 + kedro-datasets/pyproject.toml | 2 -- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/Makefile b/Makefile index aa8d2a194..c7946d605 100644 --- a/Makefile +++ b/Makefile @@ -76,6 +76,7 @@ dataset-doctest%: --ignore kedro_datasets/pandas/gbq_dataset.py \ --ignore kedro_datasets/partitions/partitioned_dataset.py \ --ignore kedro_datasets/redis/redis_dataset.py \ + --ignore kedro_datasets/snowflake/snowpark_dataset.py \ --ignore kedro_datasets/spark/spark_hive_dataset.py \ --ignore kedro_datasets/spark/spark_jdbc_dataset.py \ $(extra_pytest_arg${*}) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index f4923d22d..1ccbd47a4 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -204,8 +204,6 @@ test = [ "adlfs~=2023.1", "behave==1.2.6", "biopython~=1.73", - "blacken-docs==1.9.2", - "black~=22.0", "cloudpickle~=2.2.1", "compress-pickle[lz4]~=2.1.0", "coverage>=7.2.0", From 80f77654b6bb18bceaa1ae31edd5d8bb0402e265 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 16:58:21 +0200 Subject: [PATCH 60/88] only skip for python 3.12 or higher Signed-off-by: tdhooghe --- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 908ef9dc9..8b4880c5f 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -3,7 +3,7 @@ import pytest -if sys.version_info > (3, 11): +if sys.version_info >= (3, 12): pytest.skip( "Snowpark is not supported in Python versions higher than 3.11", allow_module_level=True, From ba0a0301ae766329942f91d60e6637b58c15a539 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 17:01:07 +0200 Subject: [PATCH 61/88] remove separate pytest skips as we have a module wide one Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 20 ------------------- 1 file changed, 20 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 8b4880c5f..f8b1f6155 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -36,10 +36,6 @@ @pytest.fixture(scope="module") -@pytest.mark.skipif( - sys.version_info > (3, 11), - reason="Snowpark is not supported in Python versions higher than 3.11", -) def local_snowpark_session() -> Session: """ Creates a local Snowflake session for testing purposes. @@ -52,10 +48,6 @@ def local_snowpark_session() -> Session: @pytest.fixture(scope="module") -@pytest.mark.skipif( - sys.version_info > (3, 11), - reason="Snowpark is not supported in Python versions higher than 3.11", -) def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: """ Provides a SnowparkTableDataset fixture for testing. @@ -75,10 +67,6 @@ def snowflake_dataset(local_snowpark_session: Session) -> SnowparkTableDataset: @pytest.fixture(scope="module") -@pytest.mark.skipif( - sys.version_info > (3, 11), - reason="Snowpark is not supported in Python versions higher than 3.11", -) def sample_sp_df(local_snowpark_session: Session) -> DataFrame: """ Creates a sample Snowpark DataFrame for testing. @@ -119,10 +107,6 @@ def sample_sp_df(local_snowpark_session: Session) -> DataFrame: @pytest.fixture(scope="module") -@pytest.mark.skipif( - sys.version_info > (3, 11), - reason="Snowpark is not supported in Python versions higher than 3.11", -) def sample_pd_df() -> pd.DataFrame: """ Creates a sample Pandas DataFrame for testing. @@ -144,10 +128,6 @@ def sample_pd_df() -> pd.DataFrame: ) -@pytest.mark.skipif( - sys.version_info > (3, 11), - reason="Snowpark is not supported in Python versions higher than 3.11", -) class TestSnowparkTableDataset: """Tests for the SnowparkTableDataset functionality.""" From 36264c2b5565199ce149e67c652493c584ad6cb4 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 17:26:23 +0200 Subject: [PATCH 62/88] remove test from omit in pytproject.toml Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 1ccbd47a4..f815316c0 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -318,7 +318,7 @@ version = {attr = "kedro_datasets.__version__"} fail_under = 100 show_missing = true # temporarily ignore kedro_datasets/__init__.py in coverage report -omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/snowflake/*", "kedro_datasets/tensorflow/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] +omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] exclude_also = ["raise NotImplementedError", "if TYPE_CHECKING:"] [tool.pytest.ini_options] From fe43b5c22cba03d74fed73b9ee8abf3382013fb3 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Tue, 22 Oct 2024 23:54:05 +0200 Subject: [PATCH 63/88] 100 test coverage Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 12 +- .../tests/snowflake/test_snowpark_dataset.py | 191 +++++++++++++++++- 2 files changed, 198 insertions(+), 5 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index d3c9ab339..6b4dc7475 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -160,6 +160,7 @@ def __init__( # noqa: PLR0913 "'schema' must be provided by credentials or dataset." ) schema = credentials["schema"] + # Handle default load and save arguments self._load_args = {**self.DEFAULT_LOAD_ARGS, **(load_args or {})} self._save_args = {**self.DEFAULT_SAVE_ARGS, **(save_args or {})} @@ -167,13 +168,13 @@ def __init__( # noqa: PLR0913 self._table_name = table_name self._database = database self._schema = schema - self.__session = session or self._get_session(credentials) # for testing connection_parameters = credentials connection_parameters.update( {"database": self._database, "schema": self._schema} ) self._connection_parameters = connection_parameters + self.__session = None self.metadata = metadata @@ -225,6 +226,10 @@ def _session(self) -> Session: self.__session = self._get_session(self._connection_parameters) return self.__session + # @_session.setter + # def _session(self, session: Session) -> None: + # self.__session = session + def load(self) -> DataFrame: """ Load data from a specified database table. @@ -276,8 +281,7 @@ def _validate_and_get_table_name(self) -> str: ValueError: If any part of the table name is None. """ parts: list[str | None] = [self._database, self._schema, self._table_name] - if any(part is None for part in parts): - raise ValueError(f"Table name parts cannot be None: {parts}") - + if any(part is None or part == "" for part in parts): + raise DatasetError("Database, schema or table name cannot be None or empty") parts_str = cast(list[str], parts) # make linting happy return ".".join(parts_str) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index f8b1f6155..22e526c2f 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,5 +1,6 @@ import datetime import sys +from unittest.mock import MagicMock, patch import pytest @@ -8,9 +9,9 @@ "Snowpark is not supported in Python versions higher than 3.11", allow_module_level=True, ) - import pandas as pd import pytest +from kedro.io.core import DatasetError from snowflake.snowpark import DataFrame, Session from snowflake.snowpark.types import ( DateType, @@ -128,6 +129,18 @@ def sample_pd_df() -> pd.DataFrame: ) +# @pytest.fixture +# def mock_get_session(mocker): +# return mocker.patch( +# "kedro_datasets.snowflake.snowpark_dataset.SnowparkTableDataset._get_session" +# ) + + +# @pytest.fixture +# def mock_session_create(mocker): +# return mocker.patch("snowflake.snowpark.Session.builder.configs.create") + + class TestSnowparkTableDataset: """Tests for the SnowparkTableDataset functionality.""" @@ -205,3 +218,179 @@ def test_not_exists(self, snowflake_dataset: SnowparkTableDataset) -> None: snowflake_dataset._table_name = "NON_EXISTENT_TABLE" exists = snowflake_dataset._exists() assert not exists + + def test_get_session(self, snowflake_dataset: SnowparkTableDataset) -> None: + """ + Tests getting the Snowflake session from the dataset. + + Args: + snowflake_dataset (SnowparkTableDataset): Dataset to get the session from. + + Asserts: + The session is the same as the one used to create the dataset. + """ + assert ( + snowflake_dataset._get_session(snowflake_dataset._connection_parameters) + == snowflake_dataset._session + ) + + def test_missing_table_name(self): + with pytest.raises( + DatasetError, match="'table_name' argument cannot be empty." + ): + SnowparkTableDataset(table_name="", credentials=DUMMY_CREDENTIALS) + + def test_missing_credentials(self): + with pytest.raises( + DatasetError, match="'credentials' argument cannot be empty." + ): + SnowparkTableDataset(table_name="weather_data", credentials=None) + + def test_missing_database_in_both_parameters_and_credentials(self): + credentials = DUMMY_CREDENTIALS.copy() + credentials.pop("database") + with pytest.raises( + DatasetError, match="'database' must be provided by credentials or dataset." + ): + SnowparkTableDataset(table_name="DUMMY_TABLE", credentials=credentials) + + def test_missing_schema_in_both_parameters_and_credentials(self): + credentials = DUMMY_CREDENTIALS.copy() + credentials.pop("schema") + with pytest.raises( + DatasetError, match="'schema' must be provided by credentials or dataset." + ): + SnowparkTableDataset(table_name="DUMMY_TABLE", credentials=credentials) + + def test_validate_and_get_table_name_success(self, snowflake_dataset): + """ + Test that the `_validate_and_get_table_name` method returns the correct table name. + + This test calls the `_validate_and_get_table_name` method with a valid table name + and verifies that the method returns the correct table name. + + Args: + self: The test case instance. + snowflake_dataset: The dataset instance being tested. + + Asserts: + The method returns the correct table name. + """ + snowflake_dataset._table_name = "DUMMY_TABLE" + expected_table_name = "DUMMY_DATABASE.DUMMY_SCHEMA.DUMMY_TABLE" + + table_name = snowflake_dataset._validate_and_get_table_name() + assert table_name == expected_table_name + + @pytest.mark.parametrize( + "table_name, database, schema", + [ + ("", "DUMMY_DATABASE", "DUMMY_SCHEMA"), # Invalid table name (empty string) + ("DUMMY_TABLE", "", "DUMMY_SCHEMA"), # Invalid database (empty string) + ("DUMMY_TABLE", "DUMMY_DATABASE", ""), # Invalid schema (empty string) + (None, "DUMMY_DATABASE", "DUMMY_SCHEMA"), # Invalid table name (None) + ("DUMMY_TABLE", None, "DUMMY_SCHEMA"), # Invalid database (None) + ("DUMMY_TABLE", "DUMMY_DATABASE", None), # Invalid schema (None) + ], + ) + def test_validate_and_get_table_name_error( + self, snowflake_dataset, table_name, database, schema + ): + """ + Test that the `_validate_and_get_table_name` method raises an error for invalid table name, database, and schema. + + This test calls the `_validate_and_get_table_name` method with invalid table name, database, and schema + and verifies that the method raises a `DatasetError`. + + Args: + self: The test case instance. + snowflake_dataset: The dataset instance being tested. + table_name: The table name to test. + database: The database name to test. + schema: The schema name to test. + + Asserts: + A `DatasetError` is raised. + """ + snowflake_dataset._table_name = table_name + snowflake_dataset._database = database + snowflake_dataset._schema = schema + + with pytest.raises( + DatasetError, match="Database, schema or table name cannot be None or empty" + ): + snowflake_dataset._validate_and_get_table_name() + + def test_get_session_existing_session(self, mocker, snowflake_dataset): + """ + Test that `snowflake_dataset._get_session` returns the existing active session. + + Args: + mocker: A fixture for mocking objects. + snowflake_dataset: An instance of the Snowflake dataset. + + Asserts: + The session returned by `_get_session` is the same as the active session. + The `get_active_session` method is called exactly once. + """ + mock_active_session = MagicMock() + mock_get_active_session = mocker.patch( + "snowflake.snowpark.context.get_active_session", + return_value=mock_active_session, + ) + + session = snowflake_dataset._get_session( + snowflake_dataset._connection_parameters + ) + + assert session == mock_active_session + mock_get_active_session.assert_called_once() + + @patch("snowflake.snowpark.Session.builder", new_callable=MagicMock) + def test_get_session_no_existing_session(self, mock_builder, snowflake_dataset): + """ + Test the `_get_session` method of `SnowparkTableDataset` when there is no existing session. + + This test ensures that the `_get_session` method correctly initializes a new session + using the Snowflake Snowpark `Session.builder` when there is no existing session. + + Args: + mock_builder (MagicMock): Mocked `Session.builder` object. + snowflake_dataset (SnowparkTableDataset): Instance of the dataset being tested. + + Steps: + 1. Close the existing session and set the private session attribute to `None`. + 2. Mock the `builder`, `configs`, and `create` methods to simulate session creation. + 3. Call the `_get_session` method with the dataset's connection parameters. + 4. Assert that the `configs` method was called once with the correct parameters. + 5. Assert that the `create` method was called once. + 6. Assert that the returned session is the mocked `create` instance. + + Asserts: + - `mock_builder.configs` is called once with the dataset's connection parameters. + - `mock_configs_instance.create` is called once. + - The returned session is the `mock_create_instance` object. + """ + snowflake_dataset._session.close() + snowflake_dataset._SnowparkTableDataset__session = ( + None # Accessing the mangled private attribute + ) + + # mock the builder, configs, and create methods since we cannot create a real session + mock_configs_instance = MagicMock() + mock_create_instance = MagicMock() + mock_builder.configs.return_value = mock_configs_instance + mock_configs_instance.create.return_value = mock_create_instance + + session = snowflake_dataset._get_session( + snowflake_dataset._connection_parameters + ) + + # assert that each part of the chain was called correctly + mock_builder.configs.assert_called_once_with( + snowflake_dataset._connection_parameters + ) + mock_configs_instance.create.assert_called_once() + + # Assert the returned session is the mock_create_instance object + assert session == mock_create_instance From 10829ede2d69d380db2545b75612ad47f8dc714f Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 09:11:39 +0200 Subject: [PATCH 64/88] bump matplotlib to prevent installing test requirements from failing Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index f815316c0..42beaae59 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -224,7 +224,7 @@ test = [ "jupyterlab>=3.0", "jupyter~=1.0", "lxml~=4.6", - "matplotlib>=3.5, <3.6", + "matplotlib>=3.5, <4.0", "memory_profiler>=0.50.0, <1.0", "moto==5.0.0", "networkx~=2.4", From 435159baab86c9b51e128aa768090d776605a315 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 09:18:51 +0200 Subject: [PATCH 65/88] revert matplotlib version bump Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 42beaae59..f815316c0 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -224,7 +224,7 @@ test = [ "jupyterlab>=3.0", "jupyter~=1.0", "lxml~=4.6", - "matplotlib>=3.5, <4.0", + "matplotlib>=3.5, <3.6", "memory_profiler>=0.50.0, <1.0", "moto==5.0.0", "networkx~=2.4", From ba6975cc7ebb215aa82de346419aeb9c51c7d3aa Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 09:37:44 +0200 Subject: [PATCH 66/88] exclude lines from coverage Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 3 +++ kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 4 ++-- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index f815316c0..bdda902f5 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -320,6 +320,9 @@ show_missing = true # temporarily ignore kedro_datasets/__init__.py in coverage report omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] exclude_also = ["raise NotImplementedError", "if TYPE_CHECKING:"] +exclude_lines = [ + "pragma: no cover - snowpark python 3.12" +] [tool.pytest.ini_options] addopts = """ diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 22e526c2f..2195d8f27 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -5,7 +5,7 @@ import pytest if sys.version_info >= (3, 12): - pytest.skip( + pytest.skip( # pragma: no cover - snowpark python 3.12 "Snowpark is not supported in Python versions higher than 3.11", allow_module_level=True, ) @@ -346,7 +346,7 @@ def test_get_session_existing_session(self, mocker, snowflake_dataset): assert session == mock_active_session mock_get_active_session.assert_called_once() - @patch("snowflake.snowpark.Session.builder", new_callable=MagicMock) + @patch("snowflake.snowpark.Session.builder") def test_get_session_no_existing_session(self, mock_builder, snowflake_dataset): """ Test the `_get_session` method of `SnowparkTableDataset` when there is no existing session. From 52ce49013b7041e69a0e5c1decf01ada70b381de Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 09:46:29 +0200 Subject: [PATCH 67/88] only test python 3.12 Signed-off-by: tdhooghe --- .github/workflows/kedro-datasets.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/kedro-datasets.yml b/.github/workflows/kedro-datasets.yml index d5aae0282..3ff5b89c1 100644 --- a/.github/workflows/kedro-datasets.yml +++ b/.github/workflows/kedro-datasets.yml @@ -22,7 +22,7 @@ jobs: strategy: matrix: os: [ ubuntu-latest, windows-latest ] - python-version: [ "3.10", "3.11", "3.12" ] + python-version: [ "3.12" ] uses: ./.github/workflows/unit-tests.yml with: plugin: kedro-datasets From 71a380179cef2d387c0e8397e16e259fe5be03a3 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 10:10:32 +0200 Subject: [PATCH 68/88] omit snowflake testing from python 3.12 Signed-off-by: tdhooghe --- Makefile | 17 +++++++++-------- kedro-datasets/pyproject.toml | 3 --- 2 files changed, 9 insertions(+), 11 deletions(-) diff --git a/Makefile b/Makefile index c7946d605..d1a0278f3 100644 --- a/Makefile +++ b/Makefile @@ -49,19 +49,20 @@ sign-off: test-no-spark: dataset-doctests-no-spark cd kedro-datasets && pytest tests --no-cov --ignore tests/spark --ignore tests/databricks --numprocesses 4 --dist loadfile - -# kedro-datasets/snowflake tests skipped from default scope -test-snowflake-only: - cd kedro-datasets && pytest --no-cov --numprocesses 1 --dist loadfile -m snowflake - cd kedro-datasets && pytest kedro_datasets/snowflake --doctest-modules --doctest-continue-on-failure --no-cov - check-datasets-docs: cd kedro-datasets && python -m sphinx -WETan -j auto -D language=en -b linkcheck -d _build/doctrees docs/source _build/linkcheck # Run test_tensorflow_model_dataset separately, because these tests are flaky when run as part of the full test-suite dataset-tests: dataset-doctests - cd kedro-datasets && pytest tests --cov-config pyproject.toml --numprocesses 4 --dist loadfile --ignore tests/tensorflow - cd kedro-datasets && pytest tests/tensorflow/test_tensorflow_model_dataset.py --no-cov + IGNORE_OPTS="" + @if [ "$(PYTHON_VERSION)" = "3.12" ]; then \ + IGNORE_OPTS="--ignore tests/tensorflow --ignore tests/snowflake/test_snowpark_dataset.py"; \ + else \ + IGNORE_OPTS="--ignore tests/tensorflow"; \ + fi; \ + + cd kedro-datasets && pytest tests --cov-config pyproject.toml --numprocesses 4 --dist loadfile $$IGNORE_OPTS + cd kedro-datasets && pytest tests/tensorflow/test_tensorflow_model_dataset.py --no-cov extra_pytest_args-no-spark=--ignore kedro_datasets/databricks --ignore kedro_datasets/spark extra_pytest_args= diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index bdda902f5..f815316c0 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -320,9 +320,6 @@ show_missing = true # temporarily ignore kedro_datasets/__init__.py in coverage report omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] exclude_also = ["raise NotImplementedError", "if TYPE_CHECKING:"] -exclude_lines = [ - "pragma: no cover - snowpark python 3.12" -] [tool.pytest.ini_options] addopts = """ From b89a552b0ea8935fb4c233a29d5faca296ddd00f Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 10:12:31 +0200 Subject: [PATCH 69/88] add python version check Signed-off-by: tdhooghe --- Makefile | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Makefile b/Makefile index d1a0278f3..e7446ef5a 100644 --- a/Makefile +++ b/Makefile @@ -53,7 +53,9 @@ check-datasets-docs: cd kedro-datasets && python -m sphinx -WETan -j auto -D language=en -b linkcheck -d _build/doctrees docs/source _build/linkcheck # Run test_tensorflow_model_dataset separately, because these tests are flaky when run as part of the full test-suite +# Omit Snowpark from python 3.12 testing, as it is not supported; while keeping coverage 100 dataset-tests: dataset-doctests + PYTHON_VERSION=$(shell python3 -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") IGNORE_OPTS="" @if [ "$(PYTHON_VERSION)" = "3.12" ]; then \ IGNORE_OPTS="--ignore tests/tensorflow --ignore tests/snowflake/test_snowpark_dataset.py"; \ From d967ff58ac1df7505f2b4633b306e2dc52bf931b Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 10:33:14 +0200 Subject: [PATCH 70/88] fix bug in ignoreopts and add back python versions 3.10 and 3.11 in matrix Signed-off-by: tdhooghe --- Makefile | 2 +- kedro-datasets/pyproject.toml | 2 +- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/Makefile b/Makefile index e7446ef5a..1183304cc 100644 --- a/Makefile +++ b/Makefile @@ -63,7 +63,7 @@ dataset-tests: dataset-doctests IGNORE_OPTS="--ignore tests/tensorflow"; \ fi; \ - cd kedro-datasets && pytest tests --cov-config pyproject.toml --numprocesses 4 --dist loadfile $$IGNORE_OPTS + cd kedro-datasets && pytest tests --cov-config pyproject.toml --numprocesses 4 --dist loadfile $(IGNORE_OPTS) cd kedro-datasets && pytest tests/tensorflow/test_tensorflow_model_dataset.py --no-cov extra_pytest_args-no-spark=--ignore kedro_datasets/databricks --ignore kedro_datasets/spark diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index f815316c0..3707211a6 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -8,7 +8,7 @@ authors = [ {name = "Kedro"} ] description = "Kedro-Datasets is where you can find all of Kedro's data connectors." -requires-python = ">=3.10" +requires-python = ">=3.12" license = {text = "Apache Software License (Apache 2.0)"} dependencies = [ "kedro>=0.19.7", diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 2195d8f27..afcaf8ea1 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -5,7 +5,7 @@ import pytest if sys.version_info >= (3, 12): - pytest.skip( # pragma: no cover - snowpark python 3.12 + pytest.mark.xfail( "Snowpark is not supported in Python versions higher than 3.11", allow_module_level=True, ) From 233b4f0f358e8760afabbb2cf45c3456d3134886 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 11:36:56 +0200 Subject: [PATCH 71/88] fix bug in ignoreopts and add back python versions 3.10 and 3.11 in matrix Signed-off-by: tdhooghe --- .github/workflows/kedro-datasets.yml | 2 +- Makefile | 17 ++++++++--------- 2 files changed, 9 insertions(+), 10 deletions(-) diff --git a/.github/workflows/kedro-datasets.yml b/.github/workflows/kedro-datasets.yml index 3ff5b89c1..d5aae0282 100644 --- a/.github/workflows/kedro-datasets.yml +++ b/.github/workflows/kedro-datasets.yml @@ -22,7 +22,7 @@ jobs: strategy: matrix: os: [ ubuntu-latest, windows-latest ] - python-version: [ "3.12" ] + python-version: [ "3.10", "3.11", "3.12" ] uses: ./.github/workflows/unit-tests.yml with: plugin: kedro-datasets diff --git a/Makefile b/Makefile index 1183304cc..e4aab577b 100644 --- a/Makefile +++ b/Makefile @@ -52,17 +52,16 @@ test-no-spark: dataset-doctests-no-spark check-datasets-docs: cd kedro-datasets && python -m sphinx -WETan -j auto -D language=en -b linkcheck -d _build/doctrees docs/source _build/linkcheck +# omit Snowpark from python 3.12 testing, as it is not supported +PYTHON_VERSION := $(shell python -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") +ifeq ($(strip $(PYTHON_VERSION)),3.12) + IGNORE_OPTS := --ignore tests/tensorflow --ignore tests/snowflake/test_snowpark_dataset.py +else + IGNORE_OPTS := --ignore tests/tensorflow +endif + # Run test_tensorflow_model_dataset separately, because these tests are flaky when run as part of the full test-suite -# Omit Snowpark from python 3.12 testing, as it is not supported; while keeping coverage 100 dataset-tests: dataset-doctests - PYTHON_VERSION=$(shell python3 -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") - IGNORE_OPTS="" - @if [ "$(PYTHON_VERSION)" = "3.12" ]; then \ - IGNORE_OPTS="--ignore tests/tensorflow --ignore tests/snowflake/test_snowpark_dataset.py"; \ - else \ - IGNORE_OPTS="--ignore tests/tensorflow"; \ - fi; \ - cd kedro-datasets && pytest tests --cov-config pyproject.toml --numprocesses 4 --dist loadfile $(IGNORE_OPTS) cd kedro-datasets && pytest tests/tensorflow/test_tensorflow_model_dataset.py --no-cov From 7349fac002df7040a6bcc828d0037a9d12745a9b Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 11:43:34 +0200 Subject: [PATCH 72/88] revert requires-python to 3.10 Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 3707211a6..f815316c0 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -8,7 +8,7 @@ authors = [ {name = "Kedro"} ] description = "Kedro-Datasets is where you can find all of Kedro's data connectors." -requires-python = ">=3.12" +requires-python = ">=3.10" license = {text = "Apache Software License (Apache 2.0)"} dependencies = [ "kedro>=0.19.7", From e64551e64dce0338838794d7a1b2a789cf9bcda7 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 15:37:44 +0200 Subject: [PATCH 73/88] ignore entire folder Signed-off-by: tdhooghe --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index e4aab577b..86de8d008 100644 --- a/Makefile +++ b/Makefile @@ -55,7 +55,7 @@ check-datasets-docs: # omit Snowpark from python 3.12 testing, as it is not supported PYTHON_VERSION := $(shell python -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") ifeq ($(strip $(PYTHON_VERSION)),3.12) - IGNORE_OPTS := --ignore tests/tensorflow --ignore tests/snowflake/test_snowpark_dataset.py + IGNORE_OPTS := --ignore tests/tensorflow --ignore tests/snowflake else IGNORE_OPTS := --ignore tests/tensorflow endif From ceacc8c3d0e71d0eeb2e85610ee6790f0624d8a6 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 16:22:18 +0200 Subject: [PATCH 74/88] add back omit for snowflake as python 3.12 is not supported, hence cicd fails on coverage Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index f815316c0..fa57d08ba 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -318,7 +318,7 @@ version = {attr = "kedro_datasets.__version__"} fail_under = 100 show_missing = true # temporarily ignore kedro_datasets/__init__.py in coverage report -omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] +omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/snowflake/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] exclude_also = ["raise NotImplementedError", "if TYPE_CHECKING:"] [tool.pytest.ini_options] From e0735ad7ea639f4ac2504ae760d819e39fdbe914 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 17:22:20 +0200 Subject: [PATCH 75/88] revert makefile to original state Signed-off-by: tdhooghe --- Makefile | 18 ++++++++---------- 1 file changed, 8 insertions(+), 10 deletions(-) diff --git a/Makefile b/Makefile index 86de8d008..c7946d605 100644 --- a/Makefile +++ b/Makefile @@ -49,21 +49,19 @@ sign-off: test-no-spark: dataset-doctests-no-spark cd kedro-datasets && pytest tests --no-cov --ignore tests/spark --ignore tests/databricks --numprocesses 4 --dist loadfile + +# kedro-datasets/snowflake tests skipped from default scope +test-snowflake-only: + cd kedro-datasets && pytest --no-cov --numprocesses 1 --dist loadfile -m snowflake + cd kedro-datasets && pytest kedro_datasets/snowflake --doctest-modules --doctest-continue-on-failure --no-cov + check-datasets-docs: cd kedro-datasets && python -m sphinx -WETan -j auto -D language=en -b linkcheck -d _build/doctrees docs/source _build/linkcheck -# omit Snowpark from python 3.12 testing, as it is not supported -PYTHON_VERSION := $(shell python -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") -ifeq ($(strip $(PYTHON_VERSION)),3.12) - IGNORE_OPTS := --ignore tests/tensorflow --ignore tests/snowflake -else - IGNORE_OPTS := --ignore tests/tensorflow -endif - # Run test_tensorflow_model_dataset separately, because these tests are flaky when run as part of the full test-suite dataset-tests: dataset-doctests - cd kedro-datasets && pytest tests --cov-config pyproject.toml --numprocesses 4 --dist loadfile $(IGNORE_OPTS) - cd kedro-datasets && pytest tests/tensorflow/test_tensorflow_model_dataset.py --no-cov + cd kedro-datasets && pytest tests --cov-config pyproject.toml --numprocesses 4 --dist loadfile --ignore tests/tensorflow + cd kedro-datasets && pytest tests/tensorflow/test_tensorflow_model_dataset.py --no-cov extra_pytest_args-no-spark=--ignore kedro_datasets/databricks --ignore kedro_datasets/spark extra_pytest_args= From d17b8a6839ce0ff2348ede748650b7fa92f936bf Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 17:48:54 +0200 Subject: [PATCH 76/88] remove commented out setters Signed-off-by: tdhooghe --- kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 6b4dc7475..088de9ac7 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -226,10 +226,6 @@ def _session(self) -> Session: self.__session = self._get_session(self._connection_parameters) return self.__session - # @_session.setter - # def _session(self, session: Session) -> None: - # self.__session = session - def load(self) -> DataFrame: """ Load data from a specified database table. From c5c9e4d2df5a4e0103f7f7a85dbf9c5d2bf82335 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 18:10:04 +0200 Subject: [PATCH 77/88] remove commented out fixtures Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index afcaf8ea1..e1ba33450 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -129,18 +129,6 @@ def sample_pd_df() -> pd.DataFrame: ) -# @pytest.fixture -# def mock_get_session(mocker): -# return mocker.patch( -# "kedro_datasets.snowflake.snowpark_dataset.SnowparkTableDataset._get_session" -# ) - - -# @pytest.fixture -# def mock_session_create(mocker): -# return mocker.patch("snowflake.snowpark.Session.builder.configs.create") - - class TestSnowparkTableDataset: """Tests for the SnowparkTableDataset functionality.""" From 67f24c038193e887255e2be88be13b3da9bfcd96 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Wed, 23 Oct 2024 18:10:04 +0200 Subject: [PATCH 78/88] remove commented out fixtures Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index afcaf8ea1..e1ba33450 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -129,18 +129,6 @@ def sample_pd_df() -> pd.DataFrame: ) -# @pytest.fixture -# def mock_get_session(mocker): -# return mocker.patch( -# "kedro_datasets.snowflake.snowpark_dataset.SnowparkTableDataset._get_session" -# ) - - -# @pytest.fixture -# def mock_session_create(mocker): -# return mocker.patch("snowflake.snowpark.Session.builder.configs.create") - - class TestSnowparkTableDataset: """Tests for the SnowparkTableDataset functionality.""" From be5fb6fe034f98ddbef8e9736d5b810f7ffd7317 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 13:51:02 +0200 Subject: [PATCH 79/88] skip test if import is missing Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index e1ba33450..d51092d73 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -4,11 +4,12 @@ import pytest -if sys.version_info >= (3, 12): - pytest.mark.xfail( - "Snowpark is not supported in Python versions higher than 3.11", - allow_module_level=True, - ) +snowpark = pytest.importorskip("snowpark") +# if sys.version_info >= (3, 12): +# pytest.mark.xfail( +# "Snowpark is not supported in Python versions higher than 3.11", +# allow_module_level=True, +# ) import pandas as pd import pytest from kedro.io.core import DatasetError From 217e60b853d39c0501ce19d5d78a02fc6412f5af Mon Sep 17 00:00:00 2001 From: Merel Theisen <49397448+merelcht@users.noreply.github.com> Date: Wed, 23 Oct 2024 11:15:57 +0100 Subject: [PATCH 80/88] build: Bump matplotlib test dependency (#904) * Bump matplotlib test dependency Signed-off-by: Merel Theisen * Fix matplotlib test Signed-off-by: Merel Theisen --------- Signed-off-by: Merel Theisen Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- kedro-datasets/tests/matplotlib/test_matplotlib_writer.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index fa57d08ba..31aaa9b39 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -224,7 +224,7 @@ test = [ "jupyterlab>=3.0", "jupyter~=1.0", "lxml~=4.6", - "matplotlib>=3.5, <3.6", + "matplotlib>=3.5, <4.0", "memory_profiler>=0.50.0, <1.0", "moto==5.0.0", "networkx~=2.4", diff --git a/kedro-datasets/tests/matplotlib/test_matplotlib_writer.py b/kedro-datasets/tests/matplotlib/test_matplotlib_writer.py index 4cdb58e92..1b5733471 100644 --- a/kedro-datasets/tests/matplotlib/test_matplotlib_writer.py +++ b/kedro-datasets/tests/matplotlib/test_matplotlib_writer.py @@ -129,7 +129,7 @@ def cleanup_plt(): class TestMatplotlibWriter: - @pytest.mark.parametrize("save_args", [{"k1": "v1"}], indirect=True) + @pytest.mark.parametrize("save_args", [{"format": "png"}], indirect=True) def test_save_data( self, tmp_path, mock_single_plot, plot_writer, mocked_s3_bucket, save_args ): From f288ab74cc39cf91b5e80a5dfefc12af7eb0e5c8 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 14:20:50 +0200 Subject: [PATCH 81/88] remove snowpark from omit Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 7 +------ 2 files changed, 2 insertions(+), 7 deletions(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 31aaa9b39..42beaae59 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -318,7 +318,7 @@ version = {attr = "kedro_datasets.__version__"} fail_under = 100 show_missing = true # temporarily ignore kedro_datasets/__init__.py in coverage report -omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/snowflake/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] +omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] exclude_also = ["raise NotImplementedError", "if TYPE_CHECKING:"] [tool.pytest.ini_options] diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index d51092d73..523bcf690 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,15 +1,10 @@ import datetime -import sys from unittest.mock import MagicMock, patch import pytest snowpark = pytest.importorskip("snowpark") -# if sys.version_info >= (3, 12): -# pytest.mark.xfail( -# "Snowpark is not supported in Python versions higher than 3.11", -# allow_module_level=True, -# ) + import pandas as pd import pytest from kedro.io.core import DatasetError From 6a21d1f2ec1f1f1ce7db6e2ff171b6fbeb54b7cd Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 15:20:01 +0200 Subject: [PATCH 82/88] change snowpark to snowflake Signed-off-by: tdhooghe --- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 523bcf690..46dd879c4 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -3,7 +3,7 @@ import pytest -snowpark = pytest.importorskip("snowpark") +snoflake = pytest.importorskip("snowflake") import pandas as pd import pytest From 0e2abe35ebf9b384c510aa6591b713e72d3e5085 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 15:22:57 +0200 Subject: [PATCH 83/88] fix error in import or skip and add noqa for ruff Signed-off-by: tdhooghe --- kedro-datasets/tests/snowflake/test_snowpark_dataset.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 46dd879c4..176fc650a 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -1,9 +1,10 @@ +# ruff: noqa: E402 import datetime from unittest.mock import MagicMock, patch import pytest -snoflake = pytest.importorskip("snowflake") +snowflake = pytest.importorskip("snowflake") import pandas as pd import pytest From c0c42a848bfe811d50102932c50f3580c2a9df97 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 15:37:50 +0200 Subject: [PATCH 84/88] implement pr feedback to raise if data is not pandas or snowpark dataframe Signed-off-by: tdhooghe --- .../snowflake/snowpark_dataset.py | 17 +++++++++++++---- 1 file changed, 13 insertions(+), 4 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 088de9ac7..544b0e8ed 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -237,15 +237,24 @@ def load(self) -> DataFrame: def save(self, data: pd.DataFrame | DataFrame) -> None: """ - Save data to a specified database table. + Check if the data is a Snowpark DataFrame or a Pandas DataFrame, + convert it to a Snowpark DataFrame if needed, and save it to the specified table. Args: data (pd.DataFrame | DataFrame): The data to save. """ if isinstance(data, pd.DataFrame): - data = self._session.create_dataframe(data) - - data.write.save_as_table(self._validate_and_get_table_name(), **self._save_args) + snowpark_df = self._session.create_dataframe(data) + elif isinstance(data, DataFrame): + snowpark_df = data + else: + raise DatasetError( + f"Data of type {type(data)} is not supported for saving." + ) + + snowpark_df.write.save_as_table( + self._validate_and_get_table_name(), **self._save_args + ) def _exists(self) -> bool: """ From 41dfa22914b2a49e8a8c30796dcef969ca8187ed Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 15:41:02 +0200 Subject: [PATCH 85/88] add back omit for snowflake as python 3.12 is not supported, hence cicd fails on coverage Signed-off-by: tdhooghe --- kedro-datasets/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 42beaae59..31aaa9b39 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -318,7 +318,7 @@ version = {attr = "kedro_datasets.__version__"} fail_under = 100 show_missing = true # temporarily ignore kedro_datasets/__init__.py in coverage report -omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] +omit = ["tests/*", "kedro_datasets/holoviews/*", "kedro_datasets/tensorflow/*", "kedro_datasets/snowflake/*", "kedro_datasets/__init__.py", "kedro_datasets/conftest.py"] exclude_also = ["raise NotImplementedError", "if TYPE_CHECKING:"] [tool.pytest.ini_options] From 0f3d838d066ed0beb112da811ceeebb34681fd11 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 15:58:11 +0200 Subject: [PATCH 86/88] add test for new raising error Signed-off-by: tdhooghe --- .../tests/snowflake/test_snowpark_dataset.py | 21 +++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py index 176fc650a..365f0aafe 100644 --- a/kedro-datasets/tests/snowflake/test_snowpark_dataset.py +++ b/kedro-datasets/tests/snowflake/test_snowpark_dataset.py @@ -162,6 +162,27 @@ def test_save_with_pandas( loaded_df = snowflake_dataset.load() assert loaded_df.count() == len(sample_pd_df) + def test_save_invalid_data(self, snowflake_dataset): + """ + Test the `save` method of `SnowparkTableDataset` with invalid data. + + This test ensures that the `save` method raises a `DatasetError` when provided with + data that is neither a Pandas DataFrame nor a Snowpark DataFrame. + + Args: + snowflake_dataset (SnowparkTableDataset): Instance of the dataset being tested. + + Asserts: + A `DatasetError` is raised with the appropriate error message. + """ + invalid_data = {"name": "Alice", "age": 30} + + with pytest.raises( + DatasetError, + match="Data of type is not supported for saving.", + ): + snowflake_dataset.save(invalid_data) + def test_load( self, snowflake_dataset: SnowparkTableDataset, sample_sp_df: DataFrame ) -> None: From 2a688d85747f4ac88b4b6582eaf3484815385053 Mon Sep 17 00:00:00 2001 From: tdhooghe Date: Thu, 24 Oct 2024 21:27:07 +0200 Subject: [PATCH 87/88] process final pr comments Signed-off-by: tdhooghe --- .../kedro_datasets/snowflake/snowpark_dataset.py | 11 +++++------ kedro-datasets/pyproject.toml | 1 + kedro-datasets/tests/snowflake/README.md | 15 +++------------ 3 files changed, 9 insertions(+), 18 deletions(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index 544b0e8ed..d55918fb8 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -174,7 +174,7 @@ def __init__( # noqa: PLR0913 {"database": self._database, "schema": self._schema} ) self._connection_parameters = connection_parameters - self.__session = None + self._session = None self.metadata = metadata @@ -215,16 +215,15 @@ def _get_session(connection_parameters) -> Session: return session @property - def _session(self) -> Session: + def session(self) -> Session: """ Retrieve or create a session. - Returns: Session: The current session associated with the object. """ - if not self.__session: - self.__session = self._get_session(self._connection_parameters) - return self.__session + if not self._session: + self._session = self._get_session(self._connection_parameters) + return self._session def load(self) -> DataFrame: """ diff --git a/kedro-datasets/pyproject.toml b/kedro-datasets/pyproject.toml index 31aaa9b39..feeaa9d2b 100644 --- a/kedro-datasets/pyproject.toml +++ b/kedro-datasets/pyproject.toml @@ -174,6 +174,7 @@ yaml-yamldataset = ["kedro-datasets[pandas-base]", "PyYAML>=4.2, <7.0"] yaml = ["kedro-datasets[yaml-yamldataset]"] # Experimental Datasets +databricks-externaltabledataset = ["kedro-datasets[spark-base,pandas-base,delta-base,hdfs-base,s3fs-base]"] langchain-chatopenaidataset = ["langchain-openai~=0.1.7"] langchain-openaiembeddingsdataset = ["langchain-openai~=0.1.7"] langchain-chatanthropicdataset = ["langchain-anthropic~=0.1.13", "langchain-community~=0.2.0"] diff --git a/kedro-datasets/tests/snowflake/README.md b/kedro-datasets/tests/snowflake/README.md index d4802a51a..bd14c5de5 100644 --- a/kedro-datasets/tests/snowflake/README.md +++ b/kedro-datasets/tests/snowflake/README.md @@ -1,13 +1,4 @@ -# Snowpark connector testing +# Snowpark Testing Omitted +As of October 2024, the Snowpark connector is compatible with Python versions 3.9, 3.10, and 3.11. Python 3.12 is not supported yet. -Execution of connection tests for Snowpark connector requires real Snowflake instance access. - -As of Oct-2024, the snowpark connector works with Python 3.9, 3.10 and 3.11. 3.12 is not supported yet. - -## Snowflake permissions required -Credentials provided via environment variables should have following permissions granted to run tests successfully: -* Create tables in a given schema -* Drop tables in a given schema -* Insert rows into tables in a given schema -* Query tables in a given schema -* Query `INFORMATION_SCHEMA.TABLES` of respective database +Currently, the build process of kedro-datasets does not support testing different Python versions for each dataset. Additionally, each dataset test is required to have 100% coverage. Due to these constraints, the kedro-datasets/snowflake folder is excluded from pytest's coverage report. From 77567b731bf66aaa0dd1b16b7389193ce10a5796 Mon Sep 17 00:00:00 2001 From: Merel Theisen Date: Mon, 28 Oct 2024 15:40:47 +0000 Subject: [PATCH 88/88] Fix lint by checking session for None Signed-off-by: Merel Theisen --- .../kedro_datasets/snowflake/snowpark_dataset.py | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py index d55918fb8..f2e215d3e 100644 --- a/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py +++ b/kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py @@ -174,7 +174,7 @@ def __init__( # noqa: PLR0913 {"database": self._database, "schema": self._schema} ) self._connection_parameters = connection_parameters - self._session = None + self._session = session self.metadata = metadata @@ -232,6 +232,10 @@ def load(self) -> DataFrame: Returns: DataFrame: The loaded data as a Snowpark DataFrame. """ + if self._session is None: + raise DatasetError( + "No active session. Please initialise a Snowpark session before loading data." + ) return self._session.table(self._validate_and_get_table_name()) def save(self, data: pd.DataFrame | DataFrame) -> None: @@ -242,6 +246,10 @@ def save(self, data: pd.DataFrame | DataFrame) -> None: Args: data (pd.DataFrame | DataFrame): The data to save. """ + if self._session is None: + raise DatasetError( + "No active session. Please initialise a Snowpark session before loading data." + ) if isinstance(data, pd.DataFrame): snowpark_df = self._session.create_dataframe(data) elif isinstance(data, DataFrame): @@ -262,6 +270,10 @@ def _exists(self) -> bool: Returns: bool: True if the table exists, False otherwise. """ + if self._session is None: + raise DatasetError( + "No active session. Please initialise a Snowpark session before loading data." + ) try: self._session.table( f"{self._database}.{self._schema}.{self._table_name}"