eland/tests/dataframe/test_es_match_pytest.py
2021-09-28 15:11:57 -05:00

51 lines
1.8 KiB
Python

# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. 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.
# File called _pytest for PyCharm compatability
import pytest
from tests.common import TestData
class TestEsMatch(TestData):
@pytest.mark.parametrize("columns", [None, ["category"], "category"])
def test_match(self, columns):
df = self.ed_ecommerce()
categories = list(df.es_match("Men's", columns=columns).category.to_pandas())
assert len(categories) > 0
assert all(any("Men's" in y for y in x) for x in categories)
def test_must_not_match(self):
df = self.ed_ecommerce()
categories = list(
df.es_match("Men's", must_not_match=True)
.es_match("Women's")
.category.to_pandas()
)
assert len(categories) > 0
assert all(all("Men's" not in y for y in x) for x in categories)
assert all(any("Women's" in y for y in x) for x in categories)
def test_match_raises(self):
df = self.ed_ecommerce()
with pytest.raises(ValueError, match="columns can't be empty"):
df.es_match("Men's", columns=[])