File size: 2,638 Bytes
1856027 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | # Copyright 2019 Google LLC
#
# 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.
import typing
import pytest
from .. import load_table_dataframe
if typing.TYPE_CHECKING:
from google.cloud import bigquery
pandas = pytest.importorskip("pandas")
pyarrow = pytest.importorskip("pyarrow")
def test_load_table_dataframe(
capsys: pytest.CaptureFixture[str],
client: "bigquery.Client",
random_table_id: str,
) -> None:
table = load_table_dataframe.load_table_dataframe(random_table_id)
out, _ = capsys.readouterr()
expected_column_names = [
"wikidata_id",
"title",
"release_year",
"length_minutes",
"release_date",
"dvd_release",
]
assert "Loaded 4 rows and {} columns".format(len(expected_column_names)) in out
column_names = [field.name for field in table.schema]
assert column_names == expected_column_names
column_types = [field.field_type for field in table.schema]
assert column_types == [
"STRING",
"STRING",
"INTEGER",
"FLOAT",
"TIMESTAMP",
"DATETIME",
]
df = client.list_rows(table).to_dataframe()
df.sort_values("release_year", inplace=True)
assert df["title"].tolist() == [
"And Now for Something Completely Different",
"Monty Python and the Holy Grail",
"Life of Brian",
"The Meaning of Life",
]
assert df["release_year"].tolist() == [1971, 1975, 1979, 1983]
assert df["length_minutes"].tolist() == [88.0, 91.5, 94.25, 112.5]
assert df["release_date"].tolist() == [
pandas.Timestamp("1971-09-28T22:59:07+00:00"),
pandas.Timestamp("1975-04-09T22:59:02+00:00"),
pandas.Timestamp("1979-08-18T03:59:05+00:00"),
pandas.Timestamp("1983-05-09T11:00:00+00:00"),
]
assert df["dvd_release"].tolist() == [
pandas.Timestamp("2003-10-22T10:00:00"),
pandas.Timestamp("2002-07-16T09:00:00"),
pandas.Timestamp("2008-01-14T08:00:00"),
pandas.Timestamp("2002-01-22T07:00:00"),
]
assert df["wikidata_id"].tolist() == ["Q16403", "Q25043", "Q24953", "Q24980"]
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