mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-12-30 17:31:44 +01:00
105 lines
2.9 KiB
Python
105 lines
2.9 KiB
Python
from io import BytesIO
|
|
import os
|
|
|
|
import numpy as np
|
|
import pytest
|
|
|
|
from pandas import DataFrame, date_range, read_csv
|
|
import pandas._testing as tm
|
|
from pandas.util import _test_decorators as td
|
|
|
|
|
|
@td.skip_if_no("gcsfs")
|
|
def test_read_csv_gcs(monkeypatch):
|
|
from fsspec import AbstractFileSystem, registry
|
|
|
|
registry.target.clear() # noqa # remove state
|
|
|
|
df1 = DataFrame(
|
|
{
|
|
"int": [1, 3],
|
|
"float": [2.0, np.nan],
|
|
"str": ["t", "s"],
|
|
"dt": date_range("2018-06-18", periods=2),
|
|
}
|
|
)
|
|
|
|
class MockGCSFileSystem(AbstractFileSystem):
|
|
def open(*args, **kwargs):
|
|
return BytesIO(df1.to_csv(index=False).encode())
|
|
|
|
monkeypatch.setattr("gcsfs.GCSFileSystem", MockGCSFileSystem)
|
|
df2 = read_csv("gs://test/test.csv", parse_dates=["dt"])
|
|
|
|
tm.assert_frame_equal(df1, df2)
|
|
|
|
|
|
@td.skip_if_no("gcsfs")
|
|
def test_to_csv_gcs(monkeypatch):
|
|
from fsspec import AbstractFileSystem, registry
|
|
|
|
registry.target.clear() # noqa # remove state
|
|
df1 = DataFrame(
|
|
{
|
|
"int": [1, 3],
|
|
"float": [2.0, np.nan],
|
|
"str": ["t", "s"],
|
|
"dt": date_range("2018-06-18", periods=2),
|
|
}
|
|
)
|
|
s = BytesIO()
|
|
s.close = lambda: True
|
|
|
|
class MockGCSFileSystem(AbstractFileSystem):
|
|
def open(*args, **kwargs):
|
|
s.seek(0)
|
|
return s
|
|
|
|
monkeypatch.setattr("gcsfs.GCSFileSystem", MockGCSFileSystem)
|
|
df1.to_csv("gs://test/test.csv", index=True)
|
|
|
|
def mock_get_filepath_or_buffer(*args, **kwargs):
|
|
return BytesIO(df1.to_csv(index=True).encode()), None, None, False
|
|
|
|
monkeypatch.setattr(
|
|
"pandas.io.common.get_filepath_or_buffer", mock_get_filepath_or_buffer
|
|
)
|
|
|
|
df2 = read_csv("gs://test/test.csv", parse_dates=["dt"], index_col=0)
|
|
|
|
tm.assert_frame_equal(df1, df2)
|
|
|
|
|
|
@td.skip_if_no("fastparquet")
|
|
@td.skip_if_no("gcsfs")
|
|
def test_to_parquet_gcs_new_file(monkeypatch, tmpdir):
|
|
"""Regression test for writing to a not-yet-existent GCS Parquet file."""
|
|
from fsspec import AbstractFileSystem, registry
|
|
|
|
registry.target.clear() # noqa # remove state
|
|
df1 = DataFrame(
|
|
{
|
|
"int": [1, 3],
|
|
"float": [2.0, np.nan],
|
|
"str": ["t", "s"],
|
|
"dt": date_range("2018-06-18", periods=2),
|
|
}
|
|
)
|
|
|
|
class MockGCSFileSystem(AbstractFileSystem):
|
|
def open(self, path, mode="r", *args):
|
|
if "w" not in mode:
|
|
raise FileNotFoundError
|
|
return open(os.path.join(tmpdir, "test.parquet"), mode)
|
|
|
|
monkeypatch.setattr("gcsfs.GCSFileSystem", MockGCSFileSystem)
|
|
df1.to_parquet(
|
|
"gs://test/test.csv", index=True, engine="fastparquet", compression=None
|
|
)
|
|
|
|
|
|
@td.skip_if_installed("gcsfs")
|
|
def test_gcs_not_present_exception():
|
|
with pytest.raises(ImportError) as e:
|
|
read_csv("gs://test/test.csv")
|
|
assert "gcsfs library is required" in str(e.value)
|