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# 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.
from datetime import datetime
import pytest
from elasticsearch.dsl.faceted_search import (
AsyncFacetedSearch,
DateHistogramFacet,
TermsFacet,
)
class BlogSearch(AsyncFacetedSearch):
doc_types = ["user", "post"]
fields = [
"title^5",
"body",
]
facets = {
"category": TermsFacet(field="category.raw"),
"tags": TermsFacet(field="tags"),
}
def test_query_is_created_properly() -> None:
bs = BlogSearch("python search")
s = bs.build_search()
assert s._doc_type == ["user", "post"]
assert {
"aggs": {
"_filter_tags": {
"filter": {"match_all": {}},
"aggs": {"tags": {"terms": {"field": "tags"}}},
},
"_filter_category": {
"filter": {"match_all": {}},
"aggs": {"category": {"terms": {"field": "category.raw"}}},
},
},
"query": {
"multi_match": {"fields": ["title^5", "body"], "query": "python search"}
},
"highlight": {"fields": {"body": {}, "title": {}}},
} == s.to_dict()
def test_query_is_created_properly_with_sort_tuple() -> None:
bs = BlogSearch("python search", sort=("category", "-title"))
s = bs.build_search()
assert s._doc_type == ["user", "post"]
assert {
"aggs": {
"_filter_tags": {
"filter": {"match_all": {}},
"aggs": {"tags": {"terms": {"field": "tags"}}},
},
"_filter_category": {
"filter": {"match_all": {}},
"aggs": {"category": {"terms": {"field": "category.raw"}}},
},
},
"query": {
"multi_match": {"fields": ["title^5", "body"], "query": "python search"}
},
"highlight": {"fields": {"body": {}, "title": {}}},
"sort": ["category", {"title": {"order": "desc"}}],
} == s.to_dict()
def test_filter_is_applied_to_search_but_not_relevant_facet() -> None:
bs = BlogSearch("python search", filters={"category": "elastic"})
s = bs.build_search()
assert {
"aggs": {
"_filter_tags": {
"filter": {"terms": {"category.raw": ["elastic"]}},
"aggs": {"tags": {"terms": {"field": "tags"}}},
},
"_filter_category": {
"filter": {"match_all": {}},
"aggs": {"category": {"terms": {"field": "category.raw"}}},
},
},
"post_filter": {"terms": {"category.raw": ["elastic"]}},
"query": {
"multi_match": {"fields": ["title^5", "body"], "query": "python search"}
},
"highlight": {"fields": {"body": {}, "title": {}}},
} == s.to_dict()
def test_filters_are_applied_to_search_ant_relevant_facets() -> None:
bs = BlogSearch(
"python search", filters={"category": "elastic", "tags": ["python", "django"]}
)
s = bs.build_search()
d = s.to_dict()
# we need to test post_filter without relying on order
f = d["post_filter"]["bool"].pop("must")
assert len(f) == 2
assert {"terms": {"category.raw": ["elastic"]}} in f
assert {"terms": {"tags": ["python", "django"]}} in f
assert {
"aggs": {
"_filter_tags": {
"filter": {"terms": {"category.raw": ["elastic"]}},
"aggs": {"tags": {"terms": {"field": "tags"}}},
},
"_filter_category": {
"filter": {"terms": {"tags": ["python", "django"]}},
"aggs": {"category": {"terms": {"field": "category.raw"}}},
},
},
"query": {
"multi_match": {"fields": ["title^5", "body"], "query": "python search"}
},
"post_filter": {"bool": {}},
"highlight": {"fields": {"body": {}, "title": {}}},
} == d
def test_date_histogram_facet_with_1970_01_01_date() -> None:
dhf = DateHistogramFacet()
assert dhf.get_value({"key": None}) == datetime(1970, 1, 1, 0, 0) # type: ignore[arg-type]
assert dhf.get_value({"key": 0}) == datetime(1970, 1, 1, 0, 0) # type: ignore[arg-type]
@pytest.mark.parametrize(
["interval_type", "interval"],
[
("interval", "year"),
("calendar_interval", "year"),
("interval", "month"),
("calendar_interval", "month"),
("interval", "week"),
("calendar_interval", "week"),
("interval", "day"),
("calendar_interval", "day"),
("fixed_interval", "day"),
("interval", "hour"),
("fixed_interval", "hour"),
("interval", "1Y"),
("calendar_interval", "1Y"),
("interval", "1M"),
("calendar_interval", "1M"),
("interval", "1w"),
("calendar_interval", "1w"),
("interval", "1d"),
("calendar_interval", "1d"),
("fixed_interval", "1d"),
("interval", "1h"),
("fixed_interval", "1h"),
],
)
def test_date_histogram_interval_types(interval_type: str, interval: str) -> None:
dhf = DateHistogramFacet(field="@timestamp", **{interval_type: interval})
assert dhf.get_aggregation().to_dict() == {
"date_histogram": {
"field": "@timestamp",
interval_type: interval,
"min_doc_count": 0,
}
}
dhf.get_value_filter(datetime.now())
def test_date_histogram_no_interval_keyerror() -> None:
dhf = DateHistogramFacet(field="@timestamp")
with pytest.raises(KeyError) as e:
dhf.get_value_filter(datetime.now())
assert str(e.value) == "'interval'"
def test_params_added_to_search() -> None:
bs = BlogSearch("python search")
assert bs._s._params == {}
bs.params(routing="42")
assert bs._s._params == {"routing": "42"}
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