| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| import pandas as pd |
| import pyarrow |
| import pytest |
| |
| from hamilton.plugins import h_pyarrow |
| |
| |
| @pytest.fixture() |
| def pandas(): |
| return pd.DataFrame({"a": [0, 1, 2], "b": ["a", "b", "c"]}) |
| |
| |
| def test_pandas_to_pyarrow(pandas): |
| result_builder = h_pyarrow.PyarrowTableResult() |
| data = {"df": pandas} |
| # ResultBuilder receive unpacked dict as arg, i.e., kwargs only |
| table = result_builder.build_result(**data) |
| assert isinstance(table, pyarrow.Table) |
| |
| |
| def test_fail_for_multiple_outputs(pandas): |
| result_builder = h_pyarrow.PyarrowTableResult() |
| data = {"df": pandas, "df2": pandas} |
| with pytest.raises(AssertionError): |
| result_builder.build_result(**data) |