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# SPDX-FileCopyrightText: 2022 Contributors to the Power Grid Model IO project <[email protected]> | ||
# | ||
# SPDX-License-Identifier: MPL-2.0 | ||
""" | ||
CSV Directory Store | ||
""" | ||
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from pathlib import Path | ||
from typing import Any, Dict, List | ||
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import pandas as pd | ||
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from power_grid_model_io.data_stores.base_data_store import BaseDataStore | ||
from power_grid_model_io.data_types import LazyDataFrame, TabularData | ||
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class CsvDirStore(BaseDataStore[TabularData]): | ||
""" | ||
CSV Directory Store | ||
The first row of each .csv file is expected to contain the column names, unless specified differently by an | ||
extension of this class. | ||
""" | ||
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__slots__ = ("_dir_path", "_csv_kwargs", "_header_rows") | ||
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def __init__(self, dir_path: Path, **csv_kwargs): | ||
super().__init__() | ||
self._dir_path = Path(dir_path) | ||
self._csv_kwargs: Dict[str, Any] = csv_kwargs | ||
self._header_rows: List[int] = [0] | ||
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def load(self) -> TabularData: | ||
""" | ||
Create a lazy loader for all CSV files in a directory and store them in a TabularData instance. | ||
""" | ||
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def lazy_csv_loader(csv_path: Path) -> LazyDataFrame: | ||
def csv_loader(): | ||
return pd.read_csv(filepath_or_buffer=csv_path, header=self._header_rows, **self._csv_kwargs) | ||
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return csv_loader | ||
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data: Dict[str, LazyDataFrame] = {} | ||
for path in self._dir_path.glob("*.csv"): | ||
data[path.stem] = lazy_csv_loader(path) | ||
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return TabularData(**data) | ||
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def save(self, data: TabularData) -> None: | ||
""" | ||
Store each table in data as a separate CSV file | ||
""" | ||
for table_name, table_data in data.items(): | ||
table_data.to_csv(path_or_buf=self._dir_path / f"{table_name}.csv", **self._csv_kwargs) |
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# SPDX-FileCopyrightText: 2022 Contributors to the Power Grid Model project <[email protected]> | ||
# | ||
# SPDX-License-Identifier: MPL-2.0 | ||
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import tempfile | ||
from pathlib import Path | ||
from unittest.mock import MagicMock, patch | ||
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import pandas as pd | ||
import pytest | ||
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from power_grid_model_io.data_stores.csv_dir_store import CsvDirStore | ||
from power_grid_model_io.data_types import TabularData | ||
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@pytest.fixture() | ||
def temp_dir(): | ||
with tempfile.TemporaryDirectory() as tmp: | ||
yield Path(tmp).resolve() | ||
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def touch(file_path: Path): | ||
open(file_path, "wb").close() | ||
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@patch("power_grid_model_io.data_stores.csv_dir_store.pd.read_csv") | ||
def test_load(mock_read_csv: MagicMock, temp_dir: Path): | ||
# Arrange | ||
foo_data = MagicMock() | ||
bar_data = MagicMock() | ||
touch(temp_dir / "foo.csv") | ||
touch(temp_dir / "bar.csv") | ||
mock_read_csv.side_effect = (foo_data, bar_data) | ||
csv_dir = CsvDirStore(temp_dir, bla=True) | ||
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# Act | ||
csv_data = csv_dir.load() | ||
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# Assert | ||
mock_read_csv.assert_not_called() # The csv data is not yet loaded | ||
assert csv_data["foo"] == foo_data | ||
assert csv_data["bar"] == bar_data | ||
mock_read_csv.assert_any_call(filepath_or_buffer=temp_dir / "foo.csv", header=[0], bla=True) | ||
mock_read_csv.assert_any_call(filepath_or_buffer=temp_dir / "bar.csv", header=[0], bla=True) | ||
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@patch("power_grid_model_io.data_stores.csv_dir_store.pd.DataFrame.to_csv") | ||
def test_save(mock_to_csv: MagicMock, temp_dir): | ||
# Arrange | ||
foo_data = pd.DataFrame() | ||
bar_data = pd.DataFrame() | ||
data = TabularData(foo=foo_data, bar=bar_data) | ||
csv_dir = CsvDirStore(temp_dir, bla=True) | ||
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# Act | ||
csv_dir.save(data) | ||
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# Assert | ||
mock_to_csv.assert_any_call(path_or_buf=temp_dir / "foo.csv", bla=True) | ||
mock_to_csv.assert_any_call(path_or_buf=temp_dir / "bar.csv", bla=True) |