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59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
# Licensed to Elasticsearch B.V under one or more agreements.
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# Elasticsearch B.V licenses this file to you under the Apache 2.0 License.
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# See the LICENSE file in the project root for more information
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# File called _pytest for PyCharm compatability
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import pytest
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from eland.tests.common import TestData
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from eland.tests.common import assert_eland_frame_equal
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class TestDataEsQuery(TestData):
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def test_flights_match_query(self):
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ed_flights = self.ed_flights()
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left = ed_flights.es_query({"match": {"OriginCityName": "Rome"}})[
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ed_flights["Carrier"] == "Kibana Airlines"
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]
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right = ed_flights[ed_flights["Carrier"] == "Kibana Airlines"].es_query(
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{"match": {"OriginCityName": "Rome"}}
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)
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assert len(left) > 0
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assert_eland_frame_equal(left, right)
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def test_es_query_allows_query_in_dict(self):
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ed_flights = self.ed_flights()
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left = ed_flights.es_query({"match": {"OriginCityName": "Rome"}})
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right = ed_flights.es_query({"query": {"match": {"OriginCityName": "Rome"}}})
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assert len(left) > 0
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assert_eland_frame_equal(left, right)
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def test_es_query_geo_location(self):
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df = self.ed_ecommerce()
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cur_nearby = df.es_query(
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{
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"bool": {
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"filter": {
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"geo_distance": {
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"distance": "10km",
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"geoip.location": {"lon": 55.3, "lat": 25.3},
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}
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}
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}
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}
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)["currency"].value_counts()
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assert cur_nearby["EUR"] == 476
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@pytest.mark.parametrize("query", [(), [], 1, True])
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def test_es_query_wrong_type(self, query):
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ed_flights = self.ed_flights_small()
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with pytest.raises(TypeError):
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ed_flights.es_query(query)
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