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Add parquet support to write_to_file_stage.py (#1937)
Add support for writing DataFrames to parquet files in `write_to_file_stage.py`. Closes #980 ## By Submitting this PR I confirm: - I am familiar with the [Contributing Guidelines](https://github.com/nv-morpheus/Morpheus/blob/main/docs/source/developer_guide/contributing.md). - When the PR is ready for review, new or existing tests cover these changes. - When the PR is ready for review, the documentation is up to date with these changes. Authors: - Yuchen Zhang (https://github.com/yczhang-nv) Approvers: - Michael Demoret (https://github.com/mdemoret-nv) URL: #1937
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#!/usr/bin/env python | ||
# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved. | ||
# SPDX-License-Identifier: Apache-2.0 | ||
# | ||
# Licensed 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. | ||
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import types | ||
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import pandas as pd | ||
import pytest | ||
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from _utils.dataset_manager import DatasetManager | ||
from morpheus.common import FileTypes | ||
from morpheus.io.deserializers import read_file_to_df | ||
from morpheus.pipeline.linear_pipeline import LinearPipeline | ||
from morpheus.stages.input.in_memory_source_stage import InMemorySourceStage | ||
from morpheus.stages.output.write_to_file_stage import WriteToFileStage | ||
from morpheus.stages.postprocess.serialize_stage import SerializeStage | ||
from morpheus.stages.preprocess.deserialize_stage import DeserializeStage | ||
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@pytest.mark.parametrize("output_file", ["/tmp/output.json", "/tmp/output.csv", "/tmp/output.parquet"]) | ||
@pytest.mark.gpu_and_cpu_mode | ||
def test_write_to_file_stage_pipe(config, | ||
df_pkg: types.ModuleType, | ||
dataset: DatasetManager, | ||
output_file: str, | ||
execution_mode: str) -> None: | ||
""" | ||
Test WriteToFileStage with different output formats (JSON, CSV, Parquet) | ||
""" | ||
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filter_probs_df = dataset['filter_probs.csv'] | ||
pipe = LinearPipeline(config) | ||
pipe.set_source(InMemorySourceStage(config, [filter_probs_df])) | ||
pipe.add_stage(DeserializeStage(config)) | ||
pipe.add_stage(SerializeStage(config)) | ||
pipe.add_stage(WriteToFileStage(config, filename=output_file, overwrite=True)) | ||
pipe.run() | ||
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if output_file.endswith(".json"): | ||
output_df = pd.read_json(output_file, lines=True) | ||
dataset.assert_compare_df(filter_probs_df, output_df) | ||
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elif output_file.endswith(".csv"): | ||
# The output data will contain an additional id column that we will need to slice off | ||
output_df = df_pkg.read_csv(output_file).iloc[:, 1:] | ||
dataset.assert_compare_df(filter_probs_df, output_df) | ||
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elif output_file.endswith(".parquet"): | ||
output_df = read_file_to_df(file_name=output_file, file_type=FileTypes.PARQUET) | ||
# The c++ WriteToFileStage will add an additional index column to the output | ||
if execution_mode == "GPU": | ||
output_df = output_df.iloc[:, 1:] | ||
assert output_df.values.tolist() == filter_probs_df.values.tolist() |